Tushar Khot

Tushar Khot

University of Wisconsin-Madison

H-index: 34

North America-United States

About Tushar Khot

Tushar Khot, With an exceptional h-index of 34 and a recent h-index of 31 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of Artificial Intelligence, Statistical Relational Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

How far can camels go? exploring the state of instruction tuning on open resources

Dirk Groeneveld α Iz Beltagy α Pete Walsh α Akshita Bhagia α Rodney Kinney α Oyvind Tafjord α Ananya Harsh Jha α Hamish Ivison αβ Ian Magnusson α Yizhong Wang αβ Shane Arora α …

Olmo: Accelerating the science of language models

Adapt: As-needed decomposition and planning with language models

Bias runs deep: Implicit reasoning biases in persona-assigned llms

Specializing smaller language models towards multi-step reasoning

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

Improving language model negotiation with self-play and in-context learning from ai feedback

Tushar Khot Information

University

Position

Allen Institute for AI;

Citations(all)

5636

Citations(since 2020)

4915

Cited By

1882

hIndex(all)

34

hIndex(since 2020)

31

i10Index(all)

56

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Tushar Khot Skills & Research Interests

Artificial Intelligence

Statistical Relational Learning

Machine Learning

Top articles of Tushar Khot

How far can camels go? exploring the state of instruction tuning on open resources

Advances in Neural Information Processing Systems

2024/2/13

Dirk Groeneveld α Iz Beltagy α Pete Walsh α Akshita Bhagia α Rodney Kinney α Oyvind Tafjord α Ananya Harsh Jha α Hamish Ivison αβ Ian Magnusson α Yizhong Wang αβ Shane Arora α …

arXiv preprint arXiv:2402.00838

2024/2

Adapt: As-needed decomposition and planning with language models

arXiv preprint arXiv:2311.05772

2023/11/8

Bias runs deep: Implicit reasoning biases in persona-assigned llms

arXiv preprint arXiv:2311.04892

2023/11/8

Specializing smaller language models towards multi-step reasoning

2023/7/3

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

arXiv preprint arXiv:2305.17306

2023/5/26

Improving language model negotiation with self-play and in-context learning from ai feedback

arXiv preprint arXiv:2305.10142

2023/5/17

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

bioRxiv

2023

Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions

arXiv preprint arXiv:2212.10509

2022/12/20

Teaching Broad Reasoning Skills via Decomposition-Guided Contexts

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

2022/12

The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks

arXiv preprint arXiv:2210.10040

2022/10/18

Tushar Khot
Tushar Khot

H-Index: 20

Kai-Wei Chang
Kai-Wei Chang

H-Index: 3

Decomposed prompting: A modular approach for solving complex tasks

arXiv preprint arXiv:2210.02406

2022/10/5

Complexity-based prompting for multi-step reasoning

2022/9/29

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

2022/6/9

Teaching broad reasoning skills for multi-step QA by generating hard contexts

arXiv preprint arXiv:2205.12496

2022/5/25

Better retrieval may not lead to better question answering

arXiv preprint arXiv:2205.03685

2022/5/7

Tushar Khot
Tushar Khot

H-Index: 20

♫ MuSiQue: Multihop Questions via Single-hop Question Composition

Transactions of the Association for Computational Linguistics

2022/5/4

Retrieval data augmentation informed by downstream question answering performance

2022/5

Hannaneh Hajishirzi
Hannaneh Hajishirzi

H-Index: 32

Tushar Khot
Tushar Khot

H-Index: 20

Prompt waywardness: The curious case of discretized interpretation of continuous prompts

arXiv preprint arXiv:2112.08348

2021/12/15

See List of Professors in Tushar Khot University(University of Wisconsin-Madison)

Co-Authors

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