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Archiki Prasad
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Grips: Gradient-free, edit-based instruction search for prompting large language models
A Prasad, P Hase, X Zhou, M Bansal
EACL 2023, 2023
1712023
Adapt: As-needed decomposition and planning with language models
A Prasad, A Koller, M Hartmann, P Clark, A Sabharwal, M Bansal, T Khot
NAACL 2024, 2023
622023
How accents confound: Probing for accent information in end-to-end speech recognition systems
A Prasad, P Jyothi
ACL 2020, 3739-3753, 2020
382020
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
A Prasad, S Saha, X Zhou, M Bansal
EMNLP 2023, 2023
342023
An investigation of end-to-end models for robust speech recognition
A Prasad, P Jyothi, R Velmurugan
ICASSP 2021, 6893-6897, 2021
262021
Rephrase, augment, reason: Visual grounding of questions for vision-language models
A Prasad, E Stengel-Eskin, M Bansal
ICLR 2024, 2023
162023
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
E Stengel-Eskin*, A Prasad*, M Bansal
ICML 2024, 2024
122024
MeetingQA: Extractive Question-Answering on Meeting Transcripts
A Prasad, T Bui, S Yoon, H Deilamsalehy, F Dernoncourt, M Bansal
ACL 2023, 15000-15025, 2023
102023
Decentralized age-of-information bandits
A Prasad, V Jain, S Moharir
2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021
102021
Time series forecasting for cold-start items by learning from related items using memory networks
A Chauhan, A Prasad, P Gupta, A Prashanth Reddy, S Kumar Saini
Companion Proceedings of the Web Conference 2020, 120-121, 2020
10*2020
Soft Self-Consistency Improves Language Model Agents
H Wang, A Prasad, E Stengel-Eskin, M Bansal
ACL 2024, 2024
82024
System-1. x: Learning to balance fast and slow planning with language models
S Saha, A Prasad, JCY Chen, P Hase, E Stengel-Eskin, M Bansal
ICLR 2025, 2024
72024
The effectiveness of intermediate-task training for code-switched natural language understanding
A Prasad, MA Rehan, S Pathak, P Jyothi
arXiv preprint arXiv:2107.09931, 2021
72021
Self-Consistency Preference Optimization
A Prasad, W Yuan, RY Pang, J Xu, M Fazel-Zarandi, M Bansal, ...
arXiv preprint arXiv:2411.04109, 2024
42024
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
JCY Chen, A Prasad, S Saha, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2409.12147, 2024
32024
Adacad: Adaptively decoding to balance conflicts between contextual and parametric knowledge
H Wang, A Prasad, E Stengel-Eskin, M Bansal
NAACL 2025, 2024
32024
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits
D Nguyen, A Prasad, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2410.01735, 2024
12024
Multi-Attribute Steering of Language Models via Targeted Intervention
D Nguyen, A Prasad, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2502.12446, 2025
2025
Learning to Generate Unit Tests for Automated Debugging
A Prasad, E Stengel-Eskin, JCY Chen, Z Khan, M Bansal
arXiv preprint arXiv:2502.01619, 2025
2025
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–19