← Authors

Ashish Sabharwal

74 papers · 2006–2025 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (18) πŸƒ Academic Marathon (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (12) πŸ† Keyword Champion πŸ‘‘ Triple Crown 🌱 Topic Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (36) πŸ† Grand Slam πŸ”¬ Deep Specialist (22) ❓ The Questioner (7) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (15) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (52) πŸ’Ž Century Club (74)

Conferences

EMNLP (19) ACL (10) NIPS (10) ICML (9) ICLR (7) NAACL (7) AAAI (5) IJCNLP (3) IJCAI (2) CONLL (1) UAI (1)

Top co-authors

Tushar Khot (36) Peter Clark (28) Kyle Richardson (14) Daniel Khashabi (12) Stefano Ermon (10) Bart Selman (7) Niranjan Balasubramanian (6) Oyvind Tafjord (6) Harsh Trivedi (6) Matthew Finlayson (5)

Keywords

question answering (14) large language model (6) multi-hop question answering (6) combinatorial optimization (6) knowledge retrieval (5) language model (5) model counting (4) knowledge graph (4) transformer model (4) natural language inference (4) commonsense reasoning (3) textual entailment (3) multi-hop reasoning (3) graphical model (3) belief propagation (3) benchmark evaluation (3) markov chain monte carlo (3) probabilistic inference (3) partition function (3) task decomposition (3)

Papers

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions ICLR 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ICML 2025
Understanding the Logic of Direct Preference Alignment through Logic ICML 2025
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ICLR 2025
The Expressive Power of Transformers with Chain of Thought ICLR 2024
Position: Data-driven Discovery with Large Generative Models ICML 2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ICLR 2024
Closing the Curious Case of Neural Text Degeneration ICLR 2024
Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024
QualEval: Qualitative Evaluation for Model Improvement NAACL 2024
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP 2024
The Illusion of State in State-Space Models ICML 2024
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents ACL 2024
ADaPT: As-Needed Decomposition and Planning with Language Models NAACL 2024
DISCO: Distilling Counterfactuals with Large Language Models ACL 2023
Specializing Smaller Language Models towards Multi-Step Reasoning ICML 2023
Decomposed Prompting: A Modular Approach for Solving Complex Tasks ICLR 2023
Complexity-Based Prompting for Multi-step Reasoning ICLR 2023
A Logic for Expressing Log-Precision Transformers NIPS 2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions EMNLP 2023
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy EMNLP 2023
Language Models with Rationality EMNLP 2023
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions ACL 2023
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts EMNLP 2022
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs EMNLP 2022
Multi-Modal Answer Validation for Knowledge-Based VQA AAAI 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability AAAI 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022
Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP 2022
LILA: A Unified Benchmark for Mathematical Reasoning EMNLP 2022
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL 2021
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? IJCNLP 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers ACL 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers IJCNLP 2021
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI EMNLP 2021
GooAQ: Open Question Answering with Diverse Answer Types EMNLP 2021
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL 2021
Temporal Reasoning on Implicit Events from Distant Supervision NAACL 2021
Adversarial Filters of Dataset Biases ICML 2020
Belief Propagation Neural Networks NIPS 2020
QASC: A Dataset for Question Answering via Sentence Composition AAAI 2020
Probing Natural Language Inference Models through Semantic Fragments AAAI 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020
More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020
A Simple Yet Strong Pipeline for HotpotQA EMNLP 2020
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning EMNLP 2020
UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020
UNQOVERing Stereotyping Biases via Underspecified Questions EMNLP 2020
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering EMNLP 2019
Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering IJCNLP 2019
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships AAAI 2019
Approximating the Permanent by Sampling from Adaptive Partitions NIPS 2019
Repurposing Entailment for Multi-Hop Question Answering Tasks NAACL 2019
Adaptive Hashing for Model Counting UAI 2019
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP 2018
Expanding Holographic Embeddings for Knowledge Completion NIPS 2018
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering EMNLP 2018
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples ACL 2018
Learning What is Essential in Questions CONLL 2017
Answering Complex Questions Using Open Information Extraction ACL 2017
Question Answering via Integer Programming over Semi-Structured Knowledge IJCAI 2016
Adaptive Concentration Inequalities for Sequential Decision Problems NIPS 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016
Exploring Markov Logic Networks for Question Answering EMNLP 2015
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Algorithm Portfolios Based on Cost-Sensitive Hierarchical Clustering IJCAI 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NIPS 2006