Neeraj Varshney
18 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
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(35)
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The Questioner
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(18)
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Conferences
ACL (10)
EMNLP (4)
NAACL (3)
EACL (1)
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Keywords
large language model
(5)
logical reasoning
(4)
natural language inference
(3)
benchmark evaluation
(3)
natural language processing
(3)
selective prediction
(3)
zero-shot learning
(2)
transformer model
(2)
uncertainty quantification
(2)
propositional logic
(2)
defense strategy
(2)
hallucination mitigation
(2)
question answering
(2)
evaluation methodology
(2)
out-of-domain generalization
(2)
knowledge distillation
(1)
mathematical reasoning
(1)
binary classification
(1)
model calibration
(1)
model selection
(1)
Papers
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
NAACL 2025
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
ACL 2024
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
ACL 2024
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies
ACL 2024
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
EMNLP 2024
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with βLITEβ
NAACL 2024
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
ACL 2023
βJohn is 50 years old, can his son be 65?β Evaluating NLP Modelsβ Understanding of Feasibility
EACL 2023
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference
EMNLP 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
ACL 2023
Unsupervised Natural Language Inference Using PHL Triplet Generation
ACL 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
EMNLP 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
ACL 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
ACL 2022
Let the Model Decide its Curriculum for Multitask Learning
NAACL 2022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
ACL 2022