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Soroush Vosoughi
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2020 – today
- 2024
- [c88]Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang:
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. ACL (1) 2024: 300-314 - [c87]Weicheng Ma, Chunyuan Deng, Aram Moossavi, Lili Wang, Soroush Vosoughi, Diyi Yang:
Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations. ACL (Findings) 2024: 2774-2788 - [c86]Xiaobo Guo, Soroush Vosoughi:
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization. ACL (Findings) 2024: 2814-2827 - [c85]Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi:
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. ACL (1) 2024: 3747-3764 - [c84]Xiaobo Guo, Soroush Vosoughi:
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts. EMNLP (Findings) 2024: 416-431 - [c83]Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi:
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse. EMNLP 2024: 5701-5723 - [c82]Zhehao Zhang, Weicheng Ma, Soroush Vosoughi:
Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models' Capability in Reproducing Academic Charts. EMNLP (Findings) 2024: 8271-8288 - [c81]Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi:
Working Memory Identifies Reasoning Limits in Language Models. EMNLP 2024: 16896-16922 - [c80]Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi:
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. EMNLP 2024: 20511-20523 - [c79]Yaning Jia, Chunhui Zhang, Soroush Vosoughi:
Aligning Relational Learning with Lipschitz Fairness. ICLR 2024 - [c78]Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Diyi Yang, Soroush Vosoughi:
Training Socially Aligned Language Models on Simulated Social Interactions. ICLR 2024 - [c77]Chongyang Gao, Yiren Jian, Natalia Denisenko, Soroush Vosoughi, V. S. Subrahmanian:
GEM: Generating Engaging Multimodal Content. IJCAI 2024: 7654-7662 - [c76]Sean Xie, Saeed Hassanpour, Soroush Vosoughi:
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. NAACL-HLT (Findings) 2024: 4451-4464 - [c75]Lili Wang, Chenghan Huang, Ruiye Yao, Chongyang Gao, Weicheng Ma, Soroush Vosoughi:
Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks. PAKDD (2) 2024: 301-313 - [i68]Xiaobo Guo, Soroush Vosoughi:
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts. CoRR abs/2402.10554 (2024) - [i67]Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi:
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. CoRR abs/2405.16584 (2024) - [i66]Xiaobo Guo, Soroush Vosoughi:
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization. CoRR abs/2406.03479 (2024) - [i65]Lin Shi, Weicheng Ma, Soroush Vosoughi:
Judging the Judges: A Systematic Investigation of Position Bias in Pairwise Comparative Assessments by LLMs. CoRR abs/2406.07791 (2024) - [i64]Xiaobo Guo, Soroush Vosoughi:
Serial Position Effects of Large Language Models. CoRR abs/2406.15981 (2024) - [i63]Maxwell Mbabilla Aladago, Lorenzo Torresani, Soroush Vosoughi:
Semantic Compositions Enhance Vision-Language Contrastive Learning. CoRR abs/2407.01408 (2024) - [i62]Ivory Yang, Xiaobo Guo, Sean Xie, Soroush Vosoughi:
Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques. CoRR abs/2408.07676 (2024) - 2023
- [j11]Neeti Pokhriyal, Benjamin Valentino, Soroush Vosoughi:
Quantifying participation biases on social media. EPJ Data Sci. 12(1): 26 (2023) - [j10]Kang Gu, Ehsanul Kabir, Neha Ramsurrun, Soroush Vosoughi, Shagufta Mehnaz:
Towards Sentence Level Inference Attack Against Pre-trained Language Models. Proc. Priv. Enhancing Technol. 2023(3): 62-78 (2023) - [c74]Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour, Soroush Vosoughi:
Improving Syntactic Probing Correctness and Robustness with Control Tasks. ACL (2) 2023: 402-415 - [c73]Sean Xie, Soroush Vosoughi, Saeed Hassanpour:
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. EMNLP (Findings) 2023: 3964-3979 - [c72]Weicheng Ma, Brian Chiang, Tong Wu, Lili Wang, Soroush Vosoughi:
Intersectional Stereotypes in Large Language Models: Dataset and Analysis. EMNLP (Findings) 2023: 8589-8597 - [c71]Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi:
Deciphering Stereotypes in Pre-Trained Language Models. EMNLP 2023: 11328-11345 - [c70]Xiaobo Guo, Soroush Vosoughi:
Length Does Matter: Summary Length can Bias Summarization Metrics. EMNLP 2023: 15869-15879 - [c69]Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour:
Improving Representation Learning for Histopathologic Images with Cluster Constraints. ICCV 2023: 21347-21357 - [c68]Lili Wang, Chenghan Huang, Weicheng Ma, Zhongyang Li, Soroush Vosoughi:
Hyperbolic Node Structural Role Embedding. ICDM (Workshops) 2023: 1162-1169 - [c67]Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai:
Mind's Eye: Grounded Language Model Reasoning through Simulation. ICLR 2023 - [c66]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language models are multilingual chain-of-thought reasoners. ICLR 2023 - [c65]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training. NeurIPS 2023 - [c64]Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi:
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. PAKDD (3) 2023: 45-57 - [c63]Lili Wang, Chenghan Huang, Xinyuan Cao, Weicheng Ma, Soroush Vosoughi:
Graph-Level Embedding for Time-Evolving Graphs. WWW (Companion Volume) 2023: 5-8 - [i61]Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X. Liu, Soroush Vosoughi:
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. CoRR abs/2301.00355 (2023) - [i60]Xiaobo Guo, Weicheng Ma, Soroush Vosoughi:
Capturing Topic Framing via Masked Language Modeling. CoRR abs/2302.03183 (2023) - [i59]Yiren Jian, Chongyang Gao, Chen Zeng, Yunjie Zhao, Soroush Vosoughi:
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task. CoRR abs/2302.06120 (2023) - [i58]Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M. Dai, Diyi Yang, Soroush Vosoughi:
Training Socially Aligned Language Models in Simulated Human Society. CoRR abs/2305.16960 (2023) - [i57]Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph-Level Embedding for Time-Evolving Graphs. CoRR abs/2306.01012 (2023) - [i56]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training. CoRR abs/2307.07063 (2023) - [i55]Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi:
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. CoRR abs/2307.08649 (2023) - [i54]Yiren Jian, Tingkai Liu, Yunzhe Tao, Soroush Vosoughi, Hongxia Yang:
SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. CoRR abs/2310.03291 (2023) - [i53]Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour:
Improving Representation Learning for Histopathologic Images with Cluster Constraints. CoRR abs/2310.12334 (2023) - [i52]Sean Xie, Soroush Vosoughi, Saeed Hassanpour:
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. CoRR abs/2311.01732 (2023) - 2022
- [j9]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Soroush Vosoughi:
Quantifying and alleviating political bias in language models. Artif. Intell. 304: 103654 (2022) - [j8]Neeti Pokhriyal, Emmanuel Letouzé, Soroush Vosoughi:
Accurate intercensal estimates of energy access to track Sustainable Development Goal 7. EPJ Data Sci. 11(1): 60 (2022) - [j7]Lili Wang, Chenghan Huang, Ying Lu, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks. ACM Trans. Inf. Syst. 40(3): 46:1-46:21 (2022) - [c62]Weicheng Ma, Samiha Datta, Lili Wang, Soroush Vosoughi:
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English. ACL (Findings) 2022: 2811-2823 - [c61]Xiaobo Guo, Weicheng Ma, Soroush Vosoughi:
Capturing Topic Framing via Masked Language Modeling. EMNLP (Findings) 2022: 6811-6825 - [c60]Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi:
Non-Parallel Text Style Transfer with Self-Parallel Supervision. ICLR 2022 - [c59]Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, Ahmed Hassan Awadallah:
Knowledge Infused Decoding. ICLR 2022 - [c58]Kang Gu, Temiloluwa Prioleau, Soroush Vosoughi:
Going Beyond Accuracy: Interpretability Metrics for CNN Representations of Physiological Signals. ICPR 2022: 4507-4513 - [c57]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. ICPR 2022: 5067-5074 - [c56]Xiaobo Guo, Soroush Vosoughi:
A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter. ICWSM 2022: 1245-1250 - [c55]Xiaobo Guo, Weicheng Ma, Soroush Vosoughi:
Measuring Media Bias via Masked Language Modeling. ICWSM 2022: 1404-1408 - [c54]Ruibo Liu, Ge Zhang, Xinyu Feng, Soroush Vosoughi:
Aligning Generative Language Models with Human Values. NAACL-HLT (Findings) 2022: 241-252 - [c53]Prashanth Vijayaraghavan, Soroush Vosoughi:
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. NAACL-HLT 2022: 3433-3448 - [c52]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Embedding Hallucination for Few-shot Language Fine-tuning. NAACL-HLT 2022: 5522-5530 - [c51]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Contrastive Learning for Prompt-based Few-shot Language Learners. NAACL-HLT 2022: 5577-5587 - [c50]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings. NeurIPS 2022 - [c49]Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X. Liu, Soroush Vosoughi:
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. NeurIPS 2022 - [c48]Rishik Lad, Weicheng Ma, Soroush Vosoughi:
Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm. SemEval@NAACL 2022: 912-918 - [c47]Joseph Hajjar, Weicheng Ma, Soroush Vosoughi:
DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation. SemEval@NAACL 2022: 1157-1162 - [i51]Xiaobo Guo, Yaojia Sun, Soroush Vosoughi:
Emotion-based Modeling of Mental Disorders on Social Media. CoRR abs/2201.09451 (2022) - [i50]Weicheng Ma, Samiha Datta, Lili Wang, Soroush Vosoughi:
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English. CoRR abs/2203.14498 (2022) - [i49]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. CoRR abs/2203.16464 (2022) - [i48]Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, Ahmed Hassan Awadallah:
Knowledge Infused Decoding. CoRR abs/2204.03084 (2022) - [i47]Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, Soroush Vosoughi:
Non-Parallel Text Style Transfer with Self-Parallel Supervision. CoRR abs/2204.08123 (2022) - [i46]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Embedding Hallucination for Few-Shot Language Fine-tuning. CoRR abs/2205.01307 (2022) - [i45]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Contrastive Learning for Prompt-Based Few-Shot Language Learners. CoRR abs/2205.01308 (2022) - [i44]Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour:
Interpretation Quality Score for Measuring the Quality of interpretability methods. CoRR abs/2205.12254 (2022) - [i43]Daniel M. DiPietro, Vivek Hazari, Soroush Vosoughi:
Robin: A Novel Online Suicidal Text Corpus of Substantial Breadth and Scale. CoRR abs/2209.05707 (2022) - [i42]Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings. CoRR abs/2209.09433 (2022) - [i41]Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei:
Language Models are Multilingual Chain-of-Thought Reasoners. CoRR abs/2210.03057 (2022) - [i40]Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew M. Dai:
Mind's Eye: Grounded Language Model Reasoning through Simulation. CoRR abs/2210.05359 (2022) - 2021
- [j6]Lili Wang, Chenghan Huang, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
Hyperbolic node embedding for temporal networks. Data Min. Knowl. Discov. 35(5): 1906-1940 (2021) - [j5]Ruibo Liu, Chenyan Jia, Soroush Vosoughi:
A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 65:1-65:26 (2021) - [j4]Neeti Pokhriyal, Benjamin Valentino, Soroush Vosoughi:
An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media Data. Trans. Data Sci. 2(4): 36:1-36:32 (2021) - [j3]Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau:
SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports. ACM Trans. Manag. Inf. Syst. 12(4): 32:1-32:17 (2021) - [c46]Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi:
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. AAAI 2021: 10147-10155 - [c45]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models through Reinforced Calibration. AAAI 2021: 14857-14866 - [c44]Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
A Survey of Data Augmentation Approaches for NLP. ACL/IJCNLP (Findings) 2021: 968-988 - [c43]Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, Soroush Vosoughi:
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. ACL/IJCNLP (1) 2021: 1956-1966 - [c42]Ruibo Liu, Jason Wei, Chenyan Jia, Soroush Vosoughi:
Modulating Language Models with Emotions. ACL/IJCNLP (Findings) 2021: 4332-4339 - [c41]Ruibo Liu, Jason Wei, Soroush Vosoughi:
Language Model Augmented Relevance Score. ACL/IJCNLP (1) 2021: 6677-6690 - [c40]Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi:
Embedding Node Structural Role Identity Using Stress Majorization. CIKM 2021: 3473-3477 - [c39]Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. CIKM 2021: 3478-3482 - [c38]Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi:
Text Augmentation in a Multi-Task View. EACL 2021: 2888-2894 - [c37]Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi:
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. EMNLP (1) 2021: 5621-5632 - [c36]Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi:
Political Depolarization of News Articles Using Attribute-Aware Word Embeddings. ICWSM 2021: 385-396 - [c35]Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau:
Feature Selection for Multivariate Time Series via Network Pruning. ICDM (Workshops) 2021: 1017-1024 - [c34]Jason Wei, Kelly Finn, Emma Templeton, Thalia Wheatley, Soroush Vosoughi:
Linguistic Complexity Loss in Text-Based Therapy. NAACL-HLT 2021: 4450-4459 - [c33]Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu:
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. NAACL-HLT 2021: 5493-5500 - [c32]Aadil Islam, Weicheng Ma, Soroush Vosoughi:
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. SemEval@ACL/IJCNLP 2021: 667-677 - [c31]Yakoob Khan, Weicheng Ma, Soroush Vosoughi:
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. SemEval@ACL/IJCNLP 2021: 967-973 - [c30]Xiaobo Guo, Yaojia Sun, Soroush Vosoughi:
Emotion-based Modeling of Mental Disorders on Social Media. WI/IAT 2021: 8-16 - [i39]Ruibo Liu, Lili Wang, Chenyan Jia, Soroush Vosoughi:
Political Depolarization of News Articles Using Attribute-aware Word Embeddings. CoRR abs/2101.01391 (2021) - [i38]Jason Wei, Chengyu Huang, Shiqi Xu, Soroush Vosoughi:
Text Augmentation in a Multi-Task View. CoRR abs/2101.05469 (2021) - [i37]Kang Gu, Soroush Vosoughi, Temiloluwa Prioleau:
Feature Selection for Multivariate Time Series via Network Pruning. CoRR abs/2102.06024 (2021) - [i36]Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, Shiqi Xu:
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. CoRR abs/2103.07552 (2021) - [i35]Yakoob Khan, Weicheng Ma, Soroush Vosoughi:
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. CoRR abs/2104.03506 (2021) - [i34]Aadil Islam, Weicheng Ma, Soroush Vosoughi:
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. CoRR abs/2104.09040 (2021) - [i33]Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models Through Reinforced Calibration. CoRR abs/2104.14795 (2021) - [i32]Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy:
A Survey of Data Augmentation Approaches for NLP. CoRR abs/2105.03075 (2021) - [i31]Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi:
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. CoRR abs/2106.09923 (2021) - [i30]Ruibo Liu, Jason Wei, Chenyan Jia, Soroush Vosoughi:
Modulating Language Models with Emotions. CoRR abs/2108.07886 (2021) - [i29]Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, Soroush Vosoughi:
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. CoRR abs/2108.08375 (2021) - [i28]Ruibo Liu, Jason Wei, Soroush Vosoughi:
Language Model Augmented Relevance Score. CoRR abs/2108.08485 (2021) - [i27]Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi:
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. CoRR abs/2109.05748 (2021) - [i26]Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. CoRR abs/2109.07016 (2021) - [i25]Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi:
Embedding Node Structural Role Identity Using Stress Majorization. CoRR abs/2109.07023 (2021) - 2020
- [c29]Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. W-NUT@EMNLP 2020: 209-214 - [c28]Chris Miller, Soroush Vosoughi:
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. W-NUT@EMNLP 2020: 281-285 - [c27]Dylan Whang, Soroush Vosoughi:
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. W-NUT@EMNLP 2020: 480-484 - [c26]Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi:
Embedding Node Structural Role Identity into Hyperbolic Space. CIKM 2020: 2253-2256 - [c25]Aarish Iyer, Soroush Vosoughi:
Style Change Detection Using BERT. CLEF (Working Notes) 2020 - [c24]Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Multi-resolution Annotations for Emoji Prediction. EMNLP (1) 2020: 6684-6694 - [c23]Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi:
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. EMNLP (1) 2020: 9031-9041 - [c22]Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, Soroush Vosoughi:
Social media data reveals signal for public consumer perceptions. ICAIF 2020: 34:1-34:8 - [c21]Xiaobo Guo, Soroush Vosoughi:
Multi-Modal Identification of State-Sponsored Propaganda on Social Media. ICPR 2020: 10576-10583 - [c20]Lili Wang, Ruibo Liu, Soroush Vosoughi:
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. ICMR 2020: 331-335 - [i24]Jerry W. Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei:
What Are People Asking About COVID-19? A Question Classification Dataset. CoRR abs/2005.12522 (2020) - [i23]Lili Wang, Ruibo Liu, Soroush Vosoughi:
Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. CoRR abs/2006.11403 (2020) - [i22]Chris Miller, Soroush Vosoughi:
Query-Free Adversarial Transfer via Undertrained Surrogates. CoRR abs/2007.00806 (2020) - [i21]Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Emoji Prediction: Extensions and Benchmarking. CoRR abs/2007.07389 (2020) - [i20]Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. CoRR abs/2009.14445 (2020) - [i19]Jiachen Jiang, Soroush Vosoughi:
Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research. CoRR abs/2010.09768 (2020) - [i18]Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi:
Embedding Node Structural Role Identity into Hyperbolic Space. CoRR abs/2011.01512 (2020) - [i17]Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi:
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. CoRR abs/2012.02952 (2020) - [i16]Ruibo Liu, Guangxuan Xu, Soroush Vosoughi:
Enhanced Offensive Language Detection Through Data Augmentation. CoRR abs/2012.02954 (2020) - [i15]Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi:
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. CoRR abs/2012.03468 (2020) - [i14]Chris Miller, Soroush Vosoughi:
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. CoRR abs/2012.04538 (2020) - [i13]Dylan Whang, Soroush Vosoughi:
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. CoRR abs/2012.04539 (2020) - [i12]Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi:
Improvements and Extensions on Metaphor Detection. CoRR abs/2012.04540 (2020) - [i11]Xiaobo Guo, Soroush Vosoughi:
Multi-modal Identification of State-Sponsored Propaganda on Social Media. CoRR abs/2012.13042 (2020) - [i10]Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, Soroush Vosoughi:
Social media data reveals signal for public consumer perceptions. CoRR abs/2012.13675 (2020)
2010 – 2019
- 2018
- [c19]Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, Deb Roy:
Me, My Echo Chamber, and I: Introspection on Social Media Polarization. WWW 2018: 823-831 - [i9]Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, Deb Roy:
Me, My Echo Chamber, and I: Introspection on Social Media Polarization. CoRR abs/1803.01731 (2018) - 2017
- [j2]Soroush Vosoughi, Mostafa 'Neo' Mohsenvand, Deb Roy:
Rumor Gauge: Predicting the Veracity of Rumors on Twitter. ACM Trans. Knowl. Discov. Data 11(4): 50:1-50:36 (2017) - [c18]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. ACL (2) 2017: 478-483 - [c17]Soroush Vosoughi, Prashanth Vijayaraghavan, Ann Yuan, Deb Roy:
Mapping Twitter Conversation Landscapes. ICWSM 2017: 684-687 - [c16]Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, Deb Roy:
TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. IUI Companion 2017: 145-148 - 2016
- [c15]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Automatic Detection and Categorization of Election-Related Tweets. ICWSM 2016: 703-706 - [c14]Soroush Vosoughi, Deb Roy:
A Semi-Automatic Method for Efficient Detection of Stories on Social Media. ICWSM 2016: 707-710 - [c13]Soroush Vosoughi, Deb Roy:
Tweet Acts: A Speech Act Classifier for Twitter. ICWSM 2016: 711-715 - [c12]Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy:
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. SemEval@NAACL-HLT 2016: 413-419 - [c11]Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy:
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. SIGIR 2016: 1041-1044 - [c10]Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy:
Human Atlas: A Tool for Mapping Social Networks. WWW (Companion Volume) 2016: 247-250 - [i8]Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy:
Human Atlas: A Tool for Mapping Social Networks. CoRR abs/1602.02426 (2016) - [i7]Soroush Vosoughi, Deb Roy:
A Semi-automatic Method for Efficient Detection of Stories on Social Media. CoRR abs/1605.05134 (2016) - [i6]Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy:
Automatic Detection and Categorization of Election-Related Tweets. CoRR abs/1605.05150 (2016) - [i5]Soroush Vosoughi, Deb Roy:
Tweet Acts: A Speech Act Classifier for Twitter. CoRR abs/1605.05156 (2016) - [i4]Soroush Vosoughi, Helen Zhou, Deb Roy:
Digital Stylometry: Linking Profiles Across Social Networks. CoRR abs/1605.05166 (2016) - [i3]Soroush Vosoughi, Helen Zhou, Deb Roy:
Enhanced Twitter Sentiment Classification Using Contextual Information. CoRR abs/1605.05195 (2016) - [i2]Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, Deb Roy:
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. CoRR abs/1606.05694 (2016) - [i1]Soroush Vosoughi, Prashanth Vijayaraghavan, Deb Roy:
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. CoRR abs/1607.07514 (2016) - 2015
- [c9]Soroush Vosoughi, Deb Roy:
A Human-Machine Collaborative System for Identifying Rumors on Twitter. ICDM Workshops 2015: 47-50 - [c8]Soroush Vosoughi, Helen Zhou, Deb Roy:
Digital Stylometry: Linking Profiles Across Social Networks. SocInfo 2015: 164-177 - [c7]Soroush Vosoughi, Helen Zhou, Deb Roy:
Enhanced Twitter Sentiment Classification Using Contextual Information. WASSA@EMNLP 2015: 16-24 - 2014
- [c6]Soroush Vosoughi:
Improving automatic speech recognition through head pose driven visual grounding. CHI 2014: 3235-3238 - [c5]Brandon C. Roy, Soroush Vosoughi, Deb Roy:
Grounding language models in spatiotemporal context. INTERSPEECH 2014: 2625-2629 - 2012
- [c4]Soroush Vosoughi, Matthew S. Goodwin, Bill Washabaugh, Deb Roy:
A portable audio/video recorder for longitudinal study of child development. ICMI 2012: 193-200 - [c3]Soroush Vosoughi, Deb Roy:
An Automatic Child-Directed Speech Detector for the Study of Child Language Development. INTERSPEECH 2012: 2478-2481 - 2010
- [c2]Brandon Roy, Soroush Vosoughi, Deb Roy:
Automatic estimation of transcription accuracy and difficulty. INTERSPEECH 2010: 1902-1905
2000 – 2009
- 2008
- [j1]Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, Rony Kubat, Deb Roy:
Object schemas for grounding language in a responsive robot. Connect. Sci. 20(4): 253-276 (2008) - [c1]Kai-yuh Hsiao, Soroush Vosoughi, Stefanie Tellex, Rony Kubat, Deb Roy:
Object schemas for responsive robotic language use. HRI 2008: 233-240
Coauthor Index
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