Object schemas for responsive robotic language use. - Kai-yuh Hsiao; Soroush Vosoughi; Stefanie Tellex; Rony Kubat; Deb Roy (HRI, 2008)

Object schemas for grounding language in a responsive robot. - Kai-yuh Hsiao; Stefanie Tellex; Soroush Vosoughi; Rony Kubat; Deb Roy (Connect. Sci., 2008)

Automatic estimation of transcription accuracy and difficulty. - Brandon Roy; Soroush Vosoughi; Deb Roy (INTERSPEECH, 2010)

A portable audio/video recorder for longitudinal study of child development. - Soroush Vosoughi; Matthew S. Goodwin; Bill Washabaugh; Deb Roy (ICMI, 2012)

An Automatic Child-Directed Speech Detector for the Study of Child Language Development. - Soroush Vosoughi; Deb Roy (INTERSPEECH, 2012)

Improving automatic speech recognition through head pose driven visual grounding. - Soroush Vosoughi (CHI, 2014)

Grounding language models in spatiotemporal context. - Brandon C. Roy; Soroush Vosoughi; Deb Roy (INTERSPEECH, 2014)

A Human-Machine Collaborative System for Identifying Rumors on Twitter. - Soroush Vosoughi; Deb Roy (ICDM Workshops, 2015)

Digital Stylometry: Linking Profiles Across Social Networks. - Soroush Vosoughi; Helen Zhou; Deb Roy (SocInfo, 2015)

Enhanced Twitter Sentiment Classification Using Contextual Information. - Soroush Vosoughi; Helen Zhou; Deb Roy (WASSA@EMNLP, 2015)

Automatic Detection and Categorization of Election-Related Tweets. - Prashanth Vijayaraghavan; Soroush Vosoughi; Deb Roy (ICWSM, 2016)

A Semi-Automatic Method for Efficient Detection of Stories on Social Media. - Soroush Vosoughi; Deb Roy (ICWSM, 2016)

Tweet Acts: A Speech Act Classifier for Twitter. - Soroush Vosoughi; Deb Roy (ICWSM, 2016)

DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. - Prashanth Vijayaraghavan; Ivan Sysoev; Soroush Vosoughi; Deb Roy (SemEval@NAACL-HLT, 2016)

Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. - Soroush Vosoughi; Prashanth Vijayaraghavan; Deb Roy (SIGIR, 2016)

Human Atlas: A Tool for Mapping Social Networks. - Martin Saveski; Eric Chu; Soroush Vosoughi; Deb Roy (WWW (Companion Volume), 2016)

Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. - Prashanth Vijayaraghavan; Soroush Vosoughi; Deb Roy (ACL (2), 2017)

Mapping Twitter Conversation Landscapes. - Soroush Vosoughi; Prashanth Vijayaraghavan; Ann Yuan; Deb Roy (ICWSM, 2017)

TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. - Prashanth Vijayaraghavan; Soroush Vosoughi; Ann Yuan; Deb Roy (IUI Companion, 2017)

Rumor Gauge: Predicting the Veracity of Rumors on Twitter. - Soroush Vosoughi; Mostafa 'Neo' Mohsenvand; Deb Roy (ACM Trans. Knowl. Discov. Data, 2017)

Me, My Echo Chamber, and I: Introspection on Social Media Polarization. - Nabeel Gillani; Ann Yuan; Martin Saveski; Soroush Vosoughi; Deb Roy (WWW, 2018)

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. - Chris Miller 003; Soroush Vosoughi (W-NUT@EMNLP, 2020)

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. - Lili Wang; Chongyang Gao; Jason Wei; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (W-NUT@EMNLP, 2020)

Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. - Dylan Whang; Soroush Vosoughi (W-NUT@EMNLP, 2020)

Embedding Node Structural Role Identity into Hyperbolic Space. - Lili Wang; Ying Lu; Chenghan Huang; Soroush Vosoughi (CIKM, 2020)

Style Change Detection Using BERT. - Aarish Iyer; Soroush Vosoughi (CLEF (Working Notes), 2020)

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. - Ruibo Liu; Guangxuan Xu; Chenyan Jia; Weicheng Ma; Lili Wang; Soroush Vosoughi (EMNLP (1), 2020)

Multi-resolution Annotations for Emoji Prediction. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (EMNLP (1), 2020)

Social media data reveals signal for public consumer perceptions. - Neeti Pokhriyal; Abenezer Dara; Benjamin Valentino; Soroush Vosoughi (ICAIF, 2020)

Multi-Modal Identification of State-Sponsored Propaganda on Social Media. - Xiaobo Guo; Soroush Vosoughi (ICPR, 2020)

Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. - Lili Wang; Ruibo Liu; Soroush Vosoughi (ICMR, 2020)

What Are People Asking About COVID-19? A Question Classification Dataset. - Jerry W. Wei; Chengyu Huang 002; Soroush Vosoughi; Jason Wei (CoRR, 2020)

Query-Free Adversarial Transfer via Undertrained Surrogates. - Chris Miller 003; Soroush Vosoughi (CoRR, 2020)

Emoji Prediction: Extensions and Benchmarking. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research. - Jiachen Jiang; Soroush Vosoughi (CoRR, 2020)

Enhanced Offensive Language Detection Through Data Augmentation. - Ruibo Liu; Guangxuan Xu; Soroush Vosoughi (CoRR, 2020)

Improvements and Extensions on Metaphor Detection. - Weicheng Ma; Ruibo Liu; Lili Wang; Soroush Vosoughi (CoRR, 2020)

Mitigating Political Bias in Language Models through Reinforced Calibration. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Lili Wang; Soroush Vosoughi (AAAI, 2021)

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. - Lili Wang; Chongyang Gao; Chenghan Huang; Ruibo Liu; Weicheng Ma; Soroush Vosoughi (AAAI, 2021)

A Survey of Data Augmentation Approaches for NLP. - Steven Y. Feng; Varun Gangal; Jason Wei; Sarath Chandar; Soroush Vosoughi; Teruko Mitamura; Eduard H. Hovy (ACL/IJCNLP (Findings), 2021)

Modulating Language Models with Emotions. - Ruibo Liu; Jason Wei; Chenyan Jia; Soroush Vosoughi (ACL/IJCNLP (Findings), 2021)

Language Model Augmented Relevance Score. - Ruibo Liu; Jason Wei; Soroush Vosoughi (ACL/IJCNLP (1), 2021)

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. - Weicheng Ma; Kai Zhang 033; Renze Lou; Lili Wang; Soroush Vosoughi (ACL/IJCNLP (1), 2021)

Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. - Lili Wang; Chenghan Huang; Weicheng Ma; Xinyuan Cao 001; Soroush Vosoughi (CIKM, 2021)

Embedding Node Structural Role Identity Using Stress Majorization. - Lili Wang; Chenghan Huang; Weicheng Ma; Ying Lu; Soroush Vosoughi (CIKM, 2021)

Text Augmentation in a Multi-Task View. - Jason Wei; Chengyu Huang 002; Shiqi Xu; Soroush Vosoughi (EACL, 2021)

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. - Weicheng Ma; Renze Lou; Kai Zhang 033; Lili Wang; Soroush Vosoughi (EMNLP (1), 2021)

Political Depolarization of News Articles Using Attribute-Aware Word Embeddings. - Ruibo Liu; Lili Wang; Chenyan Jia; Soroush Vosoughi (ICWSM, 2021)

Feature Selection for Multivariate Time Series via Network Pruning. - Kang Gu; Soroush Vosoughi; Temiloluwa Prioleau (ICDM (Workshops), 2021)

Linguistic Complexity Loss in Text-Based Therapy. - Jason Wei; Kelly Finn; Emma Templeton; Thalia Wheatley; Soroush Vosoughi (NAACL-HLT, 2021)

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. - Jason Wei; Chengyu Huang 002; Soroush Vosoughi; Yu Cheng; Shiqi Xu (NAACL-HLT, 2021)

BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. - Aadil Islam; Weicheng Ma; Soroush Vosoughi (SemEval@ACL/IJCNLP, 2021)

Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. - Yakoob Khan; Weicheng Ma; Soroush Vosoughi (SemEval@ACL/IJCNLP, 2021)

Emotion-based Modeling of Mental Disorders on Social Media. - Xiaobo Guo; Yaojia Sun; Soroush Vosoughi (WI/IAT, 2021)

Hyperbolic node embedding for temporal networks. - Lili Wang; Chenghan Huang; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (Data Min. Knowl. Discov., 2021)

A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles. - Ruibo Liu; Chenyan Jia; Soroush Vosoughi (Proc. ACM Hum. Comput. Interact., 2021)

An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media Data. - Neeti Pokhriyal; Benjamin Valentino; Soroush Vosoughi (Trans. Data Sci., 2021)

SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports. - Kang Gu; Soroush Vosoughi; Temiloluwa Prioleau (ACM Trans. Manag. Inf. Syst., 2021)

EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English. - Weicheng Ma; Samiha Datta; Lili Wang; Soroush Vosoughi (ACL (Findings), 2022)

Capturing Topic Framing via Masked Language Modeling. - Xiaobo Guo; Weicheng Ma; Soroush Vosoughi (EMNLP (Findings), 2022)

Non-Parallel Text Style Transfer with Self-Parallel Supervision. - Ruibo Liu; Chongyang Gao; Chenyan Jia; Guangxuan Xu; Soroush Vosoughi (ICLR, 2022)

Knowledge Infused Decoding. - Ruibo Liu; Guoqing Zheng; Shashank Gupta; Radhika Gaonkar; Chongyang Gao; Soroush Vosoughi; Milad Shokouhi; Ahmed Hassan Awadallah (ICLR, 2022)

Going Beyond Accuracy: Interpretability Metrics for CNN Representations of Physiological Signals. - Kang Gu; Temiloluwa Prioleau; Soroush Vosoughi (ICPR, 2022)

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. - Yuansheng Xie; Soroush Vosoughi; Saeed Hassanpour (ICPR, 2022)

Measuring Media Bias via Masked Language Modeling. - Xiaobo Guo; Weicheng Ma; Soroush Vosoughi (ICWSM, 2022)

A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter. - Xiaobo Guo; Soroush Vosoughi (ICWSM, 2022)

Embedding Hallucination for Few-shot Language Fine-tuning. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NAACL-HLT, 2022)

Contrastive Learning for Prompt-based Few-shot Language Learners. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NAACL-HLT, 2022)

Aligning Generative Language Models with Human Values. - Ruibo Liu; Ge Zhang; Xinyu Feng; Soroush Vosoughi (NAACL-HLT (Findings), 2022)

TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. - Prashanth Vijayaraghavan; Soroush Vosoughi (NAACL-HLT, 2022)

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NeurIPS, 2022)

Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. - Ruibo Liu; Chenyan Jia; Ge Zhang; Ziyu Zhuang; Tony X. Liu; Soroush Vosoughi (NeurIPS, 2022)

DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation. - Joseph Hajjar; Weicheng Ma; Soroush Vosoughi (SemEval@NAACL, 2022)

Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm. - Rishik Lad; Weicheng Ma; Soroush Vosoughi (SemEval@NAACL, 2022)

Quantifying and alleviating political bias in language models. - Ruibo Liu; Chenyan Jia; Jason Wei; Guangxuan Xu; Soroush Vosoughi (Artif. Intell., 2022)

Interpretation Quality Score for Measuring the Quality of interpretability methods. - Yuansheng Xie; Soroush Vosoughi; Saeed Hassanpour (CoRR, 2022)

Robin: A Novel Online Suicidal Text Corpus of Substantial Breadth and Scale. - Daniel M. DiPietro; Vivek Hazari; Soroush Vosoughi (CoRR, 2022)

Accurate intercensal estimates of energy access to track Sustainable Development Goal 7. - Neeti Pokhriyal; Emmanuel Letouzé; Soroush Vosoughi (EPJ Data Sci., 2022)

Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks. - Lili Wang; Chenghan Huang; Ying Lu; Weicheng Ma; Ruibo Liu; Soroush Vosoughi (ACM Trans. Inf. Syst., 2022)

Improving Syntactic Probing Correctness and Robustness with Control Tasks. - Weicheng Ma; Brian Wang; Hefan Zhang; Lili Wang; Rolando Coto-Solano; Saeed Hassanpour; Soroush Vosoughi (ACL (2), 2023)

Length Does Matter: Summary Length can Bias Summarization Metrics. - Xiaobo Guo; Soroush Vosoughi (EMNLP, 2023)

Intersectional Stereotypes in Large Language Models: Dataset and Analysis. - Weicheng Ma; Brian Chiang; Tong Wu; Lili Wang; Soroush Vosoughi (EMNLP (Findings), 2023)

Deciphering Stereotypes in Pre-Trained Language Models. - Weicheng Ma; Henry Scheible; Brian Wang; Goutham Veeramachaneni; Pratim Chowdhary; Alan Sun; Andrew Koulogeorge; Lili Wang; Diyi Yang; Soroush Vosoughi (EMNLP, 2023)

Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. - Sean Xie; Soroush Vosoughi; Saeed Hassanpour (EMNLP (Findings), 2023)

Improving Representation Learning for Histopathologic Images with Cluster Constraints. - Weiyi Wu; Chongyang Gao; Joseph DiPalma; Soroush Vosoughi; Saeed Hassanpour (ICCV, 2023)

Hyperbolic Node Structural Role Embedding. - Lili Wang; Chenghan Huang; Weicheng Ma; Zhongyang Li; Soroush Vosoughi (ICDM (Workshops), 2023)

Mind's Eye: Grounded Language Model Reasoning through Simulation. - Ruibo Liu; Jason Wei; Shixiang Shane Gu; Te-Yen Wu; Soroush Vosoughi; Claire Cui; Denny Zhou; Andrew M. Dai (ICLR, 2023)

Language models are multilingual chain-of-thought reasoners. - Freda Shi; Mirac Suzgun; Markus Freitag; Xuezhi Wang 002; Suraj Srivats; Soroush Vosoughi; Hyung Won Chung; Yi Tay; Sebastian Ruder; Denny Zhou; Dipanjan Das 001; Jason Wei (ICLR, 2023)

Bootstrapping Vision-Language Learning with Decoupled Language Pre-training. - Yiren Jian; Chongyang Gao; Soroush Vosoughi (NeurIPS, 2023)

Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. - Lili Wang; Chenghan Huang; Chongyang Gao; Weicheng Ma; Soroush Vosoughi (PAKDD (3), 2023)

Graph-Level Embedding for Time-Evolving Graphs. - Lili Wang; Chenghan Huang; Xinyuan Cao 001; Weicheng Ma; Soroush Vosoughi (WWW (Companion Volume), 2023)

Training Socially Aligned Language Models in Simulated Human Society. - Ruibo Liu; Ruixin Yang; Chenyan Jia; Ge Zhang; Denny Zhou; Andrew M. Dai; Diyi Yang; Soroush Vosoughi (CoRR, 2023)

SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Soroush Vosoughi; Hongxia Yang (CoRR, 2023)

Towards Sentence Level Inference Attack Against Pre-trained Language Models. - Kang Gu; Ehsanul Kabir; Neha Ramsurrun; Soroush Vosoughi; Shagufta Mehnaz (Proc. Priv. Enhancing Technol., 2023)

Quantifying participation biases on social media. - Neeti Pokhriyal; Benjamin Valentino; Soroush Vosoughi (EPJ Data Sci., 2023)

MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization. - Xiaobo Guo; Soroush Vosoughi (ACL (Findings), 2024)

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Chunhui Zhang; Soroush Vosoughi; Hongxia Yang (ACL (1), 2024)

Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations. - Weicheng Ma; Chunyuan Deng; Aram Moossavi; Lili Wang; Soroush Vosoughi; Diyi Yang (ACL (Findings), 2024)

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. - Yuxin Wang 006; Ivory Yang; Saeed Hassanpour; Soroush Vosoughi (ACL (1), 2024)

The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse. - Xiaobo Guo; Neil Potnis; Melody Yu; Nabeel Gillani; Soroush Vosoughi (EMNLP, 2024)

Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts. - Xiaobo Guo; Soroush Vosoughi (EMNLP (Findings), 2024)

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. - Peijun Qing; Chongyang Gao; Yefan Zhou; Xingjian Diao; Yaoqing Yang; Soroush Vosoughi (EMNLP, 2024)

Working Memory Identifies Reasoning Limits in Language Models. - Chunhui Zhang; Yiren Jian; Zhongyu Ouyang; Soroush Vosoughi (EMNLP, 2024)

Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models' Capability in Reproducing Academic Charts. - Zhehao Zhang 001; Weicheng Ma; Soroush Vosoughi (EMNLP (Findings), 2024)

Aligning Relational Learning with Lipschitz Fairness. - Yaning Jia; Chunhui Zhang; Soroush Vosoughi (ICLR, 2024)

Training Socially Aligned Language Models on Simulated Social Interactions. - Ruibo Liu; Ruixin Yang; Chenyan Jia; Ge Zhang; Diyi Yang; Soroush Vosoughi (ICLR, 2024)

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task. - Yiren Jian; Chongyang Gao; Chen Zeng; Yunjie Zhao; Soroush Vosoughi (ICPR (10), 2024)

GEM: Generating Engaging Multimodal Content. - Chongyang Gao; Yiren Jian; Natalia Denisenko; Soroush Vosoughi; V. S. Subrahmanian (IJCAI, 2024)

Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. - Sean Xie; Saeed Hassanpour; Soroush Vosoughi (NAACL-HLT (Findings), 2024)

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers. - Chiyu Ma; Jon Donnelly; Wenjun Liu; Soroush Vosoughi; Cynthia Rudin; Chaofan Chen (NeurIPS, 2024)

Achieving Domain-Independent Certified Robustness via Knowledge Continuity. - Alan Sun; Chiyu Ma; Kenneth Ge; Soroush Vosoughi (NeurIPS, 2024)

Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks. - Lili Wang; Chenghan Huang; Ruiye Yao; Chongyang Gao; Weicheng Ma; Soroush Vosoughi (PAKDD (2), 2024)

Judging the Judges: A Systematic Investigation of Position Bias in Pairwise Comparative Assessments by LLMs. - Lin Shi; Weicheng Ma; Soroush Vosoughi (CoRR, 2024)

Semantic Compositions Enhance Vision-Language Contrastive Learning. - Maxwell Mbabilla Aladago; Lorenzo Torresani; Soroush Vosoughi (CoRR, 2024)

Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques. - Ivory Yang; Xiaobo Guo; Sean Xie; Soroush Vosoughi (CoRR, 2024)

On the Exploration of LM-Based Soft Modular Robot Design. - Weicheng Ma; Luyang Zhao; Chun-Yi She; Yitao Jiang; Alan Sun; Bo Zhu 002; Devin J. Balkcom; Soroush Vosoughi (CoRR, 2024)

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Language. - Yuxin Wang 006; Xiaomeng Zhu 004; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2024)

NushuRescue: Revitalization of the Endangered Nushu Language with AI. - Ivory Yang; Weicheng Ma; Soroush Vosoughi (CoRR, 2024)

Serial Position Effects of Large Language Models. - Xiaobo Guo; Soroush Vosoughi (ACL (Findings), 2025)

Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification. - Ivory Yang; Chunhui Zhang; Yuxin Wang 006; Zhongyu Ouyang; Soroush Vosoughi (ACL (Findings), 2025)

Growing Through Experience: Scaling Episodic Grounding in Language Models. - Chunhui Zhang; Sirui Wang; Zhongyu Ouyang; Xiangchi Yuan; Soroush Vosoughi (ACL (1), 2025)

NüshuRescue: Reviving the Endangered Nüshu Language with AI. - Ivory Yang; Weicheng Ma; Soroush Vosoughi (COLING, 2025)

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences. - Yuxin Wang 006; Xiaomeng Zhu 004; Weimin Lyu; Saeed Hassanpour; Soroush Vosoughi (ICLR, 2025)

Scaled Supervision is an Implicit Lipschitz Regularizer. - Zhongyu Ouyang; Chunhui Zhang; Yaning Jia; Soroush Vosoughi (ICWSM, 2025)

Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding. - Xingjian Diao; Chunhui Zhang; Weiyi Wu; Zhongyu Ouyang; Peijun Qing; Ming Cheng 004; Soroush Vosoughi; Jiang Gui (NAACL (Findings), 2025)

Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication. - Weicheng Ma; Hefan Zhang; Ivory Yang; Shiyu Ji; Joice Chen; Farnoosh Hashemi; Shubham Mohole; Ethan Gearey; Michael Macy; Saeed Hassanpour; Soroush Vosoughi (NAACL (Long Papers), 2025)

What is it? Towards a Generalizable Native American Language Identification System. - Ivory Yang; Weicheng Ma; Carlos Guerrero Alvarez; William Dinauer; Soroush Vosoughi (NAACL (Student Research Workshop), 2025)

Is It Navajo? Accurate Language Detection for Endangered Athabaskan Languages. - Ivory Yang; Weicheng Ma; Chunhui Zhang; Soroush Vosoughi (NAACL (Short Papers), 2025)

Pretrained Image-Text Models are Secretly Video Captioners. - Chunhui Zhang; Yiren Jian; Zhongyu Ouyang; Soroush Vosoughi (NAACL (Short Papers), 2025)

Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication. - Weicheng Ma; Hefan Zhang; Ivory Yang; Shiyu Ji; Joice Chen; Farnoosh Hashemi; Shubham Mohole; Ethan Gearey; Michael Macy; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2025)

Superficial Self-Improved Reasoners Benefit from Model Merging. - Xiangchi Yuan; Chunhui Zhang; Zheyuan Liu 010; Dachuan Shi; Soroush Vosoughi; Wenke Lee (CoRR, 2025)

DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis. - Prashanth Vijayaraghavan; Soroush Vosoughi; Lamogha Chizor; Raya Horesh; Rogério Abreu de Paula; Ehsan Degan; Vandana V. Mukherjee (CoRR, 2025)

Judging with Many Minds: Do More Perspectives Mean Less Prejudice? - Chiyu Ma; Enpei Zhang; Yilun Zhao 001; Wenjun Liu; Yaning Jia; Peijun Qing; Lin Shi; Arman Cohan; Yujun Yan; Soroush Vosoughi (CoRR, 2025)

Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs. - Wenhao You; Xingjian Diao; Chunhui Zhang; Keyi Kong; Weiyi Wu; Zhongyu Ouyang; Chiyu Ma; Tingxuan Wu; Noah Wei; Zong Ke; Ming Cheng 004; Soroush Vosoughi; et al. (CoRR, 2025)

Probing Association Biases in LLM Moderation Over-Sensitivity. - Yuxin Wang 006; Botao Yu; Ivory Yang; Saeed Hassanpour; Soroush Vosoughi (CoRR, 2025)

Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner. - Chunhui Zhang; Zhongyu Ouyang; Kwonjoon Lee; Nakul Agarwal; Sean Dae Houlihan; Soroush Vosoughi; Shao-Yuan Lo (CoRR, 2025)

Towards Human-like Preference Profiling in Sequential Recommendation. - Zhongyu Ouyang; Qianlong Wen; Chunhui Zhang; Yanfang Ye 001; Soroush Vosoughi (CoRR, 2025)

KCES: Training-Free Defense for Robust Graph Neural Networks via Kernel Complexity. - Yaning Jia; Shenyang Deng; Chiyu Ma; Yaoqing Yang; Soroush Vosoughi (CoRR, 2025)

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models. - Xingjian Diao; Chunhui Zhang; Keyi Kong; Weiyi Wu; Chiyu Ma; Zhongyu Ouyang; Peijun Qing; Soroush Vosoughi; Jiang Gui (CoRR, 2025)

Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. - Zhongyu Ouyang; Mingxuan Ju; Soroush Vosoughi; Yanfang Ye 001 (CoRR, 2025)