Shachi H. Kumar

26 papers A* 1B 1Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren
2025	—	`conf`	Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging. EMNLP (Findings) Hua Farn, Hsuan Su, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2024	J	`jnl`	Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. CoRR Shachi H. Kumar, Saurav Sahay, Sahisnu Mazumder, Eda Okur, Ramesh Manuvinakurike, Nicole Beckage, Hsuan Su, Hung-yi Lee, Lama Nachman
2024	J	`jnl`	Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
2024	J	`jnl`	Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging. CoRR Hua Farn, Hsuan Su, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2023	J	`jnl`	Learning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models. CoRR Hsuan Su, Cheng-Chu Cheng, Hua Farn, Shachi H. Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
2023	J	`jnl`	Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue. CoRR Hsuan Su, Shachi H. Kumar, Sahisnu Mazumder, Wenda Chen, Ramesh Manuvinakurike, Eda Okur, Saurav Sahay, Lama Nachman, Shang-Tse Chen, Hung-yi Lee
2022	—	`conf`	Cue-bot: A Conversational Agent for Assistive Technology. ACL (demo) Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Maximilian Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman
2022	—	`conf`	CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages. SLPAT@ACL Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Max Pinaroc, Sai Prasad, Saurav Sahay, Lama Nachman
2021	J	`jnl`	Controllable Response Generation for Assistive Use-cases. CoRR Shachi H. Kumar, Hsuan Su, Ramesh Manuvinakurike, Saurav Sahay, Lama Nachman
2020	J	`jnl`	Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents. CoRR Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman
2020	J	`jnl`	Investigating topics, audio representations and attention for multimodal scene-aware dialog. Comput. Speech Lang. Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
2020	J	`jnl`	Low Rank Fusion based Transformers for Multimodal Sequences. CoRR Saurav Sahay, Eda Okur, Shachi H. Kumar, Lama Nachman
2019	J	`jnl`	Conversational Intent Understanding for Passengers in Autonomous Vehicles. CoRR Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman
2019	J	`jnl`	Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. CoRR Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
2019	—	`conf`	Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. ViGIL@NeurIPS Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
2019	J	`jnl`	Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. CoRR Shachi H. Kumar, Eda Okur, Saurav Sahay, Jonathan Huang, Lama Nachman
2019	J	`jnl`	Modeling Intent, Dialog Policies and Response Adaptation for Goal-Oriented Interactions. CoRR Saurav Sahay, Shachi H. Kumar, Eda Okur, Haroon Syed, Lama Nachman
2019	—	`conf`	Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CICLing (2) Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman
2019	J	`jnl`	Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances. CoRR Eda Okur, Shachi H. Kumar, Saurav Sahay, Asli Arslan Esme, Lama Nachman
2019	J	`jnl`	Towards Multimodal Understanding of Passenger-Vehicle Interactions in Autonomous Vehicles: Intent/Slot Recognition Utilizing Audio-Visual Data. CoRR Eda Okur, Shachi H. Kumar, Saurav Sahay, Lama Nachman
2018	J	`jnl`	Context, Attention and Audio Feature Explorations for Audio Visual Scene-Aware Dialog. CoRR Shachi H. Kumar, Eda Okur, Saurav Sahay, Juan Jose Alvarado Leanos, Jonathan Huang, Lama Nachman
2018	J	`jnl`	Multimodal Relational Tensor Network for Sentiment and Emotion Classification. CoRR Saurav Sahay, Shachi H. Kumar, Rui Xia, Jonathan Huang, Lama Nachman
2016	B	`conf`	Unsupervised models for predicting strategic relations between organizations. ASONAM Shachi H. Kumar, Jay Pujara, Lise Getoor, David Mares, Dipak Gupta, Ellen Riloff
2015	A*	`conf`	Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. ICML James R. Foulds, Shachi H. Kumar, Lise Getoor
2015	—	`conf`	Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor