Zero-Shot Opinion Summarization with GPT-3. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (CoRR, 2022)

Prompted Opinion Summarization with GPT-3.5. - Adithya Bhaskar; Alexander R. Fabbri; Greg Durrett (ACL (Findings), 2023)

Benchmarking and Improving Text-to-SQL Generation under Ambiguity. - Adithya Bhaskar; Tushar Tomar; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2023)

The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models. - Adithya Bhaskar; Dan Friedman; Danqi Chen 001 (ACL (1), 2024)

Finding Transformer Circuits With Edge Pruning. - Adithya Bhaskar; Alexander Wettig; Dan Friedman; Danqi Chen 001 (NeurIPS, 2024)

Improving Language Understanding from Screenshots. - Tianyu Gao 001; Zirui Wang; Adithya Bhaskar; Danqi Chen 001 (CoRR, 2024)

Continual Memorization of Factoids in Large Language Models. - Howard Chen 003; Jiayi Geng; Adithya Bhaskar; Dan Friedman; Danqi Chen 001 (CoRR, 2024)

Performance bounds for LASSO under multiplicative LogNormal noise: Applications to pooled RT-PCR testing. - Richeek Das; Aaron Jerry Ninan; Adithya Bhaskar; Ajit Rajwade 001 (Signal Process., 2024)

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization. - Noam Razin; Sadhika Malladi; Adithya Bhaskar; Danqi Chen 001; Sanjeev Arora; Boris Hanin (ICLR, 2025)

Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs? - Adithya Bhaskar; Alexander Wettig; Tianyu Gao 001; Yihe Dong; Danqi Chen 001 (CoRR, 2025)