Archiki Prasad

According to our database, Archiki Prasad authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs.

Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

CoRR, July, 2025

Retrieval-Augmented Generation with Conflicting Evidence.

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

CoRR, April, 2025

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems.

Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal

CoRR, April, 2025

Learning to Generate Unit Tests for Automated Debugging.

Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal

CoRR, February, 2025

AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge.

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Attribute Steering of Language Models via Targeted Intervention.

Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits.

Duy Nguyen, 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

Soft Self-Consistency Improves Language Model Agents.

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

CoRR, 2024

ADaPT: As-Needed Decomposition and Planning with Language Models.

Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ReGAL: Refactoring Programs to Discover Generalizable Abstractions.

Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models.

Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Soft Self-Consistency Improves Language Models Agents.

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness.

Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models.

Archiki Prasad, Peter Hase, Xiang Zhou, Mohit Bansal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

MeetingQA: Extractive Question-Answering on Meeting Transcripts.

Archiki Prasad, Trung Bui, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Mohit Bansal

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding.

Archiki Prasad, Mohammad Ali Rehan, Shreya Pathak, Preethi Jyothi

CoRR, 2021

Decentralized Age-of-Information Bandits.

Archiki Prasad, Vishal Jain, Sharayu Moharir

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

An Investigation of End-to-End Models for Robust Speech Recognition.

Archiki Prasad, Preethi Jyothi, Rajbabu Velmurugan

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems.

Archiki Prasad, Preethi Jyothi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020