Nishant Balepur
18 papers · 2023–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (35) 🏆 Keyword Champion (4)
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Dynamic Duo
(10)
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Prolific Year · Productive
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(85)
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Research topics
Artificial Intelligence
(13)
Core AI
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Natural Language Processing
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Machine Learning
(9)
Applications · Natural Language Processing
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Learning Types · Machine Learning
(6)
Resources & Methods
(5)
Deep Learning
(4)
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Keywords
large language model
(8)
multiple-choice question answering
(4)
benchmark evaluation
(3)
llm evaluation
(2)
retrieval-augmented generation
(2)
question generation
(2)
multiple-choice question
(2)
commonsense reasoning
(2)
content planning
(2)
prompt engineering
(1)
educational technology
(1)
question answering
(1)
plan generation
(1)
text style transfer
(1)
generative evaluation
(1)
item response theory
(1)
machine translation
(1)
spaced repetition
(1)
human feedback
(1)
model alignment
(1)
Papers
BenchMarker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks
ACL 2026
Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
ACL 2026
Measuring User’s Mental Models of Speech Translation in Human-AI Collaboration
ACL 2026
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers
ACL 2026
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
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer?
NAACL 2025
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
ACL 2025
Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
ACL 2025
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
ACL 2024
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
EMNLP 2024
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?
ACL 2024
It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
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