Weight Initialization in Neural Language Models. - Ameet Deshpande; Vedant Somani (CoRR, 2018)

A Question-Answering framework for plots using Deep learning. - Revanth Reddy; Rahul Ramesh; Ameet Deshpande; Mitesh M. Khapra (CoRR, 2018)

Improvements on Hindsight Learning. - Ameet Deshpande; Srikanth Sarma (CoRR, 2018)

Discovering hierarchies using Imitation Learning from hierarchy aware policies. - Ameet Deshpande; Harshavardhan P. K; Balaraman Ravindran (CoRR, 2018)

Leveraging Ontological Knowledge for Neural Language Models. - Ameet Deshpande; Monisha Jegadeesan (COMAD/CODS, 2019)

FigureNet : A Deep Learning model for Question-Answering on Scientific Plots. - Revanth Reddy; Rahul Ramesh; Ameet Deshpande; Mitesh M. Khapra (IJCNN, 2019)

Guiding Attention for Self-Supervised Learning with Transformers. - Ameet Deshpande; Karthik Narasimhan (EMNLP (Findings), 2020)

CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes. - Raeid Saqur; Ameet Deshpande (CoRR, 2020)

Evaluating a Generative Adversarial Framework for Information Retrieval. - Ameet Deshpande; Mitesh M. Khapra (CoRR, 2020)

Sentiment Analysis for Reinforcement Learning. - Ameet Deshpande; Eve Fleisig (CoRR, 2020)

When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. - Ameet Deshpande; Partha Talukdar; Karthik Narasimhan (NAACL-HLT, 2022)

Semantic Supervision: Enabling Generalization over Output Spaces. - Austin W. Hanjie; Ameet Deshpande; Karthik Narasimhan (CoRR, 2022)

ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. - Henry Tang; Ameet Deshpande; Karthik Narasimhan (CoRR, 2022)

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. - Ameet Deshpande; Md. Arafat Sultan; Anthony Ferritto; Ashwin Kalyan; Karthik Narasimhan; Avirup Sil (CoRR, 2022)

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)

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. - Pranjal Aggarwal; Ameet Deshpande; Karthik R. Narasimhan (ICML, 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)

Anthropomorphization of AI: Opportunities and Risks. - Ameet Deshpande; Tanmay Rajpurohit; Karthik Narasimhan; Ashwin Kalyan (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)

Distraction-free Embeddings for Robust VQA. - Atharvan Dogra; Deeksha Varshney; Ashwin Kalyan; Ameet Deshpande; Neeraj Kumar (CoRR, 2023)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. - Shashank Gupta; Vaishnavi Shrivastava; Ameet Deshpande; Ashwin Kalyan; Peter Clark; Ashish Sabharwal; Tushar Khot (ICLR, 2024)

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

InstructEval: Systematic Evaluation of Instruction Selection Methods. - Anirudh Ajith; Chris Pan; Mengzhou Xia; Ameet Deshpande; Karthik Narasimhan (NAACL-HLT (Findings), 2024)

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

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation. - Shreyas Chaudhari; Ameet Deshpande; Bruno C. da Silva 001; Philip S. Thomas (NeurIPS, 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)

Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. - Atharvan Dogra; Ameet Deshpande; John J. Nay; Tanmay Rajpurohit; Ashwin Kalyan; Balaraman Ravindran (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)

Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation. - Atharvan Dogra; Krishna Pillutla; Ameet Deshpande; Ananya B. Sai; John J. Nay; Tanmay Rajpurohit; Ashwin Kalyan; Balaraman Ravindran (ACL (1), 2025)

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)