Improving Generative Visual Dialog by Answering Diverse Questions. - Vishvak Murahari; Prithvijit Chattopadhyay; Dhruv Batra; Devi Parikh; Abhishek Das (EMNLP/IJCNLP (1), 2019)

Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. - Vishvak Murahari; Dhruv Batra; Devi Parikh; Abhishek Das (ECCV (18), 2020)

DataMUX: Data Multiplexing for Neural Networks. - Vishvak Murahari; Carlos E. Jimenez; Runzhe Yang; Karthik Narasimhan (NeurIPS, 2022)

PruMUX: Augmenting Data Multiplexing with Model Compression. - Yushan Su; Vishvak Murahari; Karthik Narasimhan; Kai Li (ACL (Findings), 2023)

C-STS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (EMNLP, 2023)

Toxicity in chatgpt: Analyzing persona-assigned language models. - Ameet Deshpande; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan (EMNLP (Findings), 2023)

MUX-PLMs: Data Multiplexing for High-throughput Language Models. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (EMNLP (Findings), 2023)

MUX-PLMs: Pre-training Language Models with Data Multiplexing. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (RepL4NLP@ACL, 2023)

Building Scalable Video Understanding Benchmarks through Sports. - Aniket Agarwal; Alex Zhang; Karthik Narasimhan; Igor Gilitschenski; Vishvak Murahari; Yash Kant (CoRR, 2023)

CSTS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (CoRR, 2023)

GEO: Generative Engine Optimization. - Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande (KDD, 2024)

QualEval: Qualitative Evaluation for Model Improvement. - Vishvak Murahari; Ameet Deshpande; Peter Clark; Tanmay Rajpurohit; Ashish Sabharwal; Karthik Narasimhan; Ashwin Kalyan (NAACL-HLT, 2024)

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. - Shreyas Chaudhari; Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande; Bruno Castro da Silva (CoRR, 2024)

PersonaGym: Evaluating Persona Agents and LLMs. - Vinay Samuel; Henry Peng Zou; Yue Zhou; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Ameet Deshpande; Karthik Narasimhan; Vishvak Murahari (CoRR, 2024)

Agent Context Protocols Enhance Collective Inference. - Devansh Bhardwaj; Arjun Beniwal; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik R. Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)

Probing AI Safety with Source Code. - Ujwal Narayan; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)