How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems. - Archiki Prasad; Preethi Jyothi (ACL, 2020)

Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks. - Ayush Chauhan; Archiki Prasad; Parth Gupta; Prashanth Amireddy; Shiv Kumar Saini (WWW (Companion Volume), 2020)

An Investigation of End-to-End Models for Robust Speech Recognition. - Archiki Prasad; Preethi Jyothi; Rajbabu Velmurugan (ICASSP, 2021)

Decentralized Age-of-Information Bandits. - Archiki Prasad; Vishal Jain; Sharayu Moharir (WCNC, 2021)

The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding. - Archiki Prasad; Mohammad Ali Rehan; Shreya Pathak; Preethi Jyothi (CoRR, 2021)

MeetingQA: Extractive Question-Answering on Meeting Transcripts. - Archiki Prasad; Trung Bui; Seunghyun Yoon 002; Hanieh Deilamsalehy; Franck Dernoncourt; Mohit Bansal (ACL (1), 2023)

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. - Archiki Prasad; Peter Hase; Xiang Zhou; Mohit Bansal (EACL, 2023)

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. - Archiki Prasad; Swarnadeep Saha; Xiang Zhou; Mohit Bansal (EMNLP, 2023)

Soft Self-Consistency Improves Language Models Agents. - Han Wang; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (ACL (Short Papers), 2024)

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. - Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (ICLR, 2024)

ReGAL: Refactoring Programs to Discover Generalizable Abstractions. - Elias Stengel-Eskin; Archiki Prasad; Mohit Bansal (ICML, 2024)

ADaPT: As-Needed Decomposition and Planning with Language Models. - Archiki Prasad; Alexander Koller; Mareike Hartmann; Peter Clark; Ashish Sabharwal; Mohit Bansal; Tushar Khot (NAACL-HLT (Findings), 2024)

Soft Self-Consistency Improves Language Model Agents. - Han Wang; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2024)

MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. - Justin Chih-Yao Chen; Archiki Prasad; Swarnadeep Saha; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2024)

LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits. - Duy Nguyen; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2024)

Self-Consistency Preference Optimization. - Archiki Prasad; Weizhe Yuan; Richard Yuanzhe Pang; Jing Xu; Maryam Fazel-Zarandi; Mohit Bansal; Sainbayar Sukhbaatar; Jason Weston; Jane A. Yu (CoRR, 2024)

Multi-Attribute Steering of Language Models via Targeted Intervention. - Duy Nguyen; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (ACL (1), 2025)

System 1.x: Learning to Balance Fast and Slow Planning with Language Models. - Swarnadeep Saha; Archiki Prasad; Justin Chih-Yao Chen; Peter Hase; Elias Stengel-Eskin; Mohit Bansal (ICLR, 2025)

AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. - Han Wang; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (NAACL (Long Papers), 2025)

Learning to Generate Unit Tests for Automated Debugging. - Archiki Prasad; Elias Stengel-Eskin; Justin Chih-Yao Chen; Zaid Khan 001; Mohit Bansal (CoRR, 2025)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems. - Zaid Khan 001; Elias Stengel-Eskin; Archiki Prasad; Jaemin Cho 001; Mohit Bansal (CoRR, 2025)

Retrieval-Augmented Generation with Conflicting Evidence. - Han Wang; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2025)

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs. - Duy Nguyen; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal (CoRR, 2025)