Nishant Balepur
18 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
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🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge
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Keyword Pioneer
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Conferences
ACL (10)
EMNLP (6)
NAACL (2)
Top co-authors
Research topics
Keywords
large language model
(8)
multiple-choice question answering
(3)
benchmark evaluation
(3)
llm evaluation
(2)
multiple-choice question
(2)
question generation
(2)
commonsense reasoning
(2)
content planning
(2)
question answering
(1)
generative evaluation
(1)
machine translation
(1)
item response theory
(1)
educational technology
(1)
text representation
(1)
direct preference optimization
(1)
model alignment
(1)
bayesian model
(1)
text generation
(1)
spaced repetition
(1)
reinforcement learning from human feedback
(1)
Papers
BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks
ACL 2026
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers
ACL 2026
Measuring User’s Mental Models of Speech Translation in Human-AI Collaboration
ACL 2026
Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
ACL 2026
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer?
NAACL 2025
Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
ACL 2025
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
ACL 2025
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
EMNLP 2025
MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
NAACL 2025
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
EMNLP 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
ACL 2024
It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
ACL 2024
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?
ACL 2024
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
EMNLP 2024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
EMNLP 2024
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance
ACL 2023
Expository Text Generation: Imitate, Retrieve, Paraphrase
EMNLP 2023
Text Fact Transfer
EMNLP 2023