Tushar Khot
40 papers · 2015–2025 · 9 venues · across top CS/AI venues
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Research topics
Natural Language Processing
(29)
Artificial Intelligence
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Machine Learning
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Learning Types Β· Machine Learning
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Keywords
question answering
(13)
large language model
(7)
multi-hop question answering
(6)
multi-hop reasoning
(5)
language model
(5)
task decomposition
(4)
knowledge graph
(3)
multi-step reasoning
(3)
agent system
(3)
reading comprehension
(3)
textual entailment
(3)
knowledge retrieval
(3)
question decomposition
(2)
data augmentation
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natural language inference
(2)
transfer learning
(2)
autonomous agent
(2)
benchmark evaluation
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code generation
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instruction following
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Papers
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
ICLR 2025
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
NAACL 2025
ADaPT: As-Needed Decomposition and Planning with Language Models
NAACL 2024
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
ACL 2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
ICLR 2024
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
NeurIPS 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
EMNLP 2024
Complexity-Based Prompting for Multi-step Reasoning
ICLR 2023
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
ICLR 2023
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
NeurIPS 2023
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
ACL 2023
Specializing Smaller Language Models towards Multi-Step Reasoning
ICML 2023
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks
ACL 2023
Hey AI, Can You Solve Complex Tasks by Talking to Agents?
ACL 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
NAACL 2022
Retrieval Data Augmentation Informed by Downstream Question Answering Performance
ACL 2022
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts
EMNLP 2022
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
ACL 2021
GooAQ: Open Question Answering with Diverse Answer Types
EMNLP 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers
ACL 2021
Temporal Reasoning on Implicit Events from Distant Supervision
NAACL 2021
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
NAACL 2021
A Simple Yet Strong Pipeline for HotpotQA
EMNLP 2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
EMNLP 2020
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning
EMNLP 2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
EMNLP 2020
QASC: A Dataset for Question Answering via Sentence Composition
AAAI 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System
EMNLP 2020
UNQOVERing Stereotyping Biases via Underspecified Questions
EMNLP 2020
Exploiting Explicit Paths for Multi-hop Reading Comprehension
ACL 2019
Repurposing Entailment for Multi-Hop Question Answering Tasks
NAACL 2019
Whatβs Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
EMNLP 2019
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
ACL 2018
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
EMNLP 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
EMNLP 2018
Answering Complex Questions Using Open Information Extraction
ACL 2017
Learning What is Essential in Questions
CoNLL 2017
Question Answering via Integer Programming over Semi-Structured Knowledge
IJCAI 2016
Exploring Markov Logic Networks for Question Answering
EMNLP 2015