Investigation into Biomedical Literature Classification Using Support Vector Machines. - Nalini Polavarapu; Shamkant B. Navathe; Ramprasad Ramnarayanan; Abrar ul Haque; Saurav Sahay; Ying Liu 007 (CSB, 2005)

Discovering Biomedical Relations Utilizing the World-Wide Web. - Sougata Mukherjea; Saurav Sahay (Pacific Symposium on Biocomputing, 2006)

Domain Ontology Construction from Biomedical Text. - Saurav Sahay; Baoli Li 001; Ernest V. Garcia; Eugene Agichtein; Ashwin Ram 001 (IC-AI, 2007)

iReMedI- Intelligent Retrieval from Medical Information. - Saurav Sahay; Bharat Ravisekar; Sundaresan Venkatasubramanian; Anushree Venkatesh; Priyanka Prabhu; Ashwin Ram 001 (ECCBR, 2008)

Discovering semantic biomedical relations utilizing the Web. - Saurav Sahay; Sougata Mukherjea; Eugene Agichtein; Ernest V. Garcia; Shamkant B. Navathe; Ashwin Ram 001 (ACM Trans. Knowl. Discov. Data, 2008)

Socio-Semantic Health Information Access. - Saurav Sahay; Ashwin Ram 001 (AAAI Spring Symposium: AI and Health Communication, 2011)

Intentional Analysis of Medical Conversations for Community Engagement. - Saurav Sahay (FLAIRS, 2011)

Open social learning communities. - Ashwin Ram 001; Hua Ai; Preetha Ram; Saurav Sahay (WIMS, 2011)

Socio-semantic conversational information access. - Saurav Sahay (2011)

Socio-semantic conversational information access. - Saurav Sahay; Ashwin Ram 001 (WWW (Companion Volume), 2012)

Meeting assistant application. - Michel Assayag; Jonathan Huang; Jonathan Mamou; Oren Pereg; Saurav Sahay; Oren Shamir; Georg Stemmer; Moshe Wasserblat (INTERSPEECH, 2015)

As Simple as Possible but No Simpler: Creating Flexibility in Personal Informatics. - Dawn Nafus; Pete Denman; Lenitra Durham; Omar Florez; Lama Nachman; Saurav Sahay; Evan Savage; Sangita Sharma; Devon Strawn; Rita H. Wouhaybi (CHI Extended Abstracts, 2016)

Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode. - Ayush Pandey; Subhamoy Mahajan; Adarsh Kosta; Dhananjay Yadav; Vikas Pandey; Saurav Sahay; Siddharth Jha; Shubh Agarwal; Aashay Bhise; Raushan Kumar; Aniket Bhushan; Vraj Parikh; et al. (CoRR, 2016)

Technology Solutions to Combat Online Harassment. - George Kennedy; Andrew McCollough; Edward Dixon; Alexei Bastidas; John Ryan; Chris Loo; Saurav Sahay (ALW@ACL, 2017)

Multimodal Relational Tensor Network for Sentiment and Emotion Classification. - Saurav Sahay; Shachi H. Kumar; Rui Xia; Jonathan Huang; Lama Nachman (CoRR, 2018)

Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. - Shachi H. Kumar; Eda Okur; Saurav Sahay; Juan Jose Alvarado Leanos; Jonathan Huang; Lama Nachman (CoRR, 2018)

Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. - Eda Okur; Shachi H. Kumar; Saurav Sahay; Asli Arslan Esme; Lama Nachman (CICLing (2), 2019)

Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. - Shachi H. Kumar; Eda Okur; Saurav Sahay; Jonathan Huang; Lama Nachman (ViGIL@NeurIPS, 2019)

Conversational Intent Understanding for Passengers in Autonomous Vehicles. - Eda Okur; Shachi H. Kumar; Saurav Sahay; Asli Arslan Esme; Lama Nachman (CoRR, 2019)

Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data. - Eda Okur; Shachi H. Kumar; Saurav Sahay; Lama Nachman (CoRR, 2019)

Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions. - Saurav Sahay; Shachi H. Kumar; Eda Okur; Haroon Syed; Lama Nachman (CoRR, 2019)

Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. - Shachi H. Kumar; Eda Okur; Saurav Sahay; Jonathan Huang; Lama Nachman (CoRR, 2019)

Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies. - Weiyan Shi; Xuewei Wang; Yoojung Oh; Jingwen Zhang; Saurav Sahay; Zhou Yu 005 (CHI, 2020)

Low Rank Fusion based Transformers for Multimodal Sequences. - Saurav Sahay; Eda Okur; Shachi H. Kumar; Lama Nachman (CoRR, 2020)

Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. - Eda Okur; Shachi H. Kumar; Saurav Sahay; Lama Nachman (CoRR, 2020)

Investigating topics, audio representations and attention for multimodal scene-aware dialog. - Shachi H. Kumar; Eda Okur; Saurav Sahay; Jonathan Huang; Lama Nachman (Comput. Speech Lang., 2020)

ACAT-G: An Interactive Learning Framework for Assisted Response Generation. - Xueyuan Lu; Saurav Sahay; Zhou Yu; Lama Nachman (AAAI, 2021)

Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration. - Weiyan Shi; Yu Li 013; Saurav Sahay; Zhou Yu 005 (EMNLP (Findings), 2021)

Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. - Hsuan Su; Jiun-Hao Jhan; Fan-Yun Sun; Saurav Sahay; Hung-yi Lee (NAACL-HLT, 2021)

Incremental temporal summarization in multi-party meetings. - Ramesh Manuvinakurike; Saurav Sahay; Wenda Chen; Lama Nachman (SIGDIAL, 2021)

Semi-supervised Interactive Intent Labeling. - Saurav Sahay; Eda Okur; Nagib Hakim; Lama Nachman (CoRR, 2021)

Controllable Response Generation for Assistive Use-cases. - Shachi H. Kumar; Hsuan Su; Ramesh Manuvinakurike; Saurav Sahay; Lama Nachman (CoRR, 2021)

Cue-bot: A Conversational Agent for Assistive Technology. - Shachi H. Kumar; Hsuan Su; Ramesh Manuvinakurike; Maximilian Pinaroc; Sai Prasad; Saurav Sahay; Lama Nachman (ACL (demo), 2022)

Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue. - Maximillian Chen; Weiyan Shi; Feifan Yan; Ryan Hou; Jingwen Zhang; Saurav Sahay; Zhou Yu 005 (AACL/IJCNLP (1), 2022)

Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System. - Eda Okur; Saurav Sahay; Lama Nachman (LREC, 2022)

CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages. - Shachi H. Kumar; Hsuan Su; Ramesh Manuvinakurike; Max Pinaroc; Sai Prasad; Saurav Sahay; Lama Nachman (SLPAT@ACL, 2022)

NLU for Game-based Learning in Real: Initial Evaluations. - Eda Okur; Saurav Sahay; Lama Nachman (CoRR, 2022)

Few-shot Prompting Towards Controllable Response Generation. - Hsuan Su; Po-Han Chi; Shih-Cheng Huang; Ho-Lam Chung; Saurav Sahay; Shang-Tse Chen; Hung-Yi Lee (CoRR, 2022)

Human in the loop approaches in multi-modal conversational task guidance system development. - Ramesh Manuvinakurike; Sovan Biswas; Giuseppe Raffa; Richard Beckwith 001; Anthony Rhodes; Meng Shi; Gesem Gudino Mejia; Saurav Sahay; Lama Nachman (CoRR, 2022)

End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics. - Eda Okur; Saurav Sahay; Roddy Fuentes-Alba; Lama Nachman (CoRR, 2022)

General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning. - Shih-Cheng Huang; Shih-Heng Wang; Min-Han Shih; Saurav Sahay; Hung-yi Lee (CoRR, 2022)

Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. - Eda Okur; Roddy Fuentes-Alba; Saurav Sahay; Lama Nachman (BEA@ACL, 2023)

Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. - Hsuan Su; Shachi H. Kumar; Sahisnu Mazumder; Wenda Chen; Ramesh Manuvinakurike; Eda Okur; Saurav Sahay; Lama Nachman; Shang-Tse Chen; Hung-yi Lee (CoRR, 2023)

Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization. - Sumanta Bhattacharyya; Ramesh Manuvinakurike; Sahisnu Mazumder; Saurav Sahay (CoRR, 2023)

Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. - Hsuan Su; Cheng-Chu Cheng; Hua Farn; Shachi H. Kumar; Saurav Sahay; Shang-Tse Chen; Hung-yi Lee (CoRR, 2023)

Zero-shot Conversational Summarization Evaluations with small Large Language Models. - Ramesh Manuvinakurike; Saurav Sahay; Sangeeta Manepalli; Lama Nachman (CoRR, 2023)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning. - Shih-Cheng Huang; Shih-Heng Wang; Min-Han Shih; Saurav Sahay; Hung-yi Lee (NAACL (Student Research Workshop), 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. - Shachi H. Kumar; Saurav Sahay; Sahisnu Mazumder; Eda Okur; Ramesh Manuvinakurike; Nicole Beckage; Hsuan Su; Hung-yi Lee; Lama Nachman (CoRR, 2024)

QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing. - Ramesh Manuvinakurike; Elizabeth Anne Watkins; Celal Savur; Anthony Rhodes; Sovan Biswas; Gesem Gudino Mejia; Richard Beckwith 001; Saurav Sahay; Giuseppe Raffa; Lama Nachman (CoRR, 2024)

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging. - Hua Farn; Hsuan Su; Shachi H. Kumar; Saurav Sahay; Shang-Tse Chen; Hung-yi Lee (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines. - Ramesh Manuvinakurike; Emanuel Moss; Elizabeth Anne Watkins; Saurav Sahay; Giuseppe Raffa; Lama Nachman (CoRR, 2025)