Vishakh Padmakumar

According to our database, Vishakh Padmakumar authored at least 16 papers between 2021 and 2023.

Collaborative distances:

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

2023

Debate Helps Supervise Unreliable Experts.

Julian Michael, Salsabila Mahdi, David Rein, Jackson Petty, Julien Dirani, Vishakh Padmakumar, Samuel R. Bowman

CoRR, 2023

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers.

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

CoRR, 2023

Does Writing with Language Models Reduce Content Diversity?

Vishakh Padmakumar, He He

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He

CoRR, 2023

Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs.

Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho

CoRR, 2023

Investigating the Representation of Open Domain Dialogue Context for Transformer Models.

Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extrapolative Controlled Sequence Generation via Iterative Refinement.

Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh

Proceedings of the International Conference on Machine Learning, 2023

Reward Gaming in Conditional Text Generation.

Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He

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

2022

Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions.

Alicia Parrish, Harsh Trivedi, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Amanpreet Singh Saimbhi, Samuel R. Bowman

CoRR, 2022

QuALITY: Question Answering with Long Input Texts, Yes!

Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.

Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Machine-in-the-Loop Rewriting for Creative Image Captioning.

Vishakh Padmakumar, He He

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing.

Tuhin Chakrabarty, Vishakh Padmakumar, He He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BBQ: A hand-built bias benchmark for question answering.

Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, Samuel R. Bowman

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Unsupervised Extractive Summarization using Pointwise Mutual Information.

Vishakh Padmakumar, He He

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021