Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. - Arti Ramesh; Shachi H. Kumar; James R. Foulds; Lise Getoor (ACL (1), 2015)

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. - James R. Foulds; Shachi H. Kumar; Lise Getoor (ICML, 2015)

Unsupervised models for predicting strategic relations between organizations. - Shachi H. Kumar; Jay Pujara; Lise Getoor; David Mares; Dipak Gupta; Ellen Riloff (ASONAM, 2016)

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)

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)

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)

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)

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)

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)

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)

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)