You can also browse my Google Scholar page
Does Writing with Language Models Reduce Content Diversity?
Vishakh Padmakumar, He He
ICLR 2024
[paper]
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
Tuhin Chakrabarty*, Vishakh Padmakumar*, Faeze Brahman, Smaranda Muresan
Preprint
[paper] [website]
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
Neurips 2023
[paper]
Extrapolative Controlled Sequence Generation via Iterative Refinement
Vishakh Padmakumar*, Richard Yuanzhe Pang, He He, Ankur P. Parikh
ICML 2023
[paper]
Reward Gaming in Conditional Text Generation
Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P Parikh, He He
ACL 2023
[paper]
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-Tür
SIGDIAL 2023
[paper]
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing
Tuhin Chakrabarty*, Vishakh Padmakumar*, He He
EMNLP 2022
[paper] [website]
Machine-in-the-Loop Rewriting for Creative Image Captioning
Vishakh Padmakumar, He He
NAACL 2022
Previously presented at Novel Ideas in Learning-to-Learn through Interaction - Workshop @ EMNLP 2021
[paper]
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis
NAACL 2022
[paper]
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 and Sam Bowman
NAACL 2022
[paper]
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
ACL Findings 2022
[paper]
Unsupervised Extractive Summarization with Mutual Information
Vishakh Padmakumar, He He
EACL 2021
[paper]
A comparison of methods in political science text classification: Transfer learning language models for politics
Zhanna Terechshenko, Fridolin Linder, Vishakh Padmakumar, Michael Liu, Jonathan Nagler, Josh Tucker, Richard Bonneau
SSRN
[paper]
Multi-Modal Content Similarities in Online Disinformation Campaigns
Cody Buntain, Vishakh Padmakumar, Richard Bonneau, Jonathan Nagler, Josh Tucker
ACM Conference on Collective Intelligence, 2020
[paper]
A Robust Approach to Open Vocabulary Image Retrieval with Deep Convolutional Neural Networks and Transfer Learning
Vishakh Padmakumar, Rishab Ranga, Srivalya Elluru, Sowmya Kamath S.
2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC), IEEE
[paper]
Other Projects
Counterfactual Logit Pairing with Asymmetric Counterfactuals in Text Classification
Lucius Bynum, Vishakh Padmakumar
[paper]
Transfer of Reinforcement Learning in a Natural Language Action Space
Vishakh Padmakumar, Francesco Preta
[paper]