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Neeraj Varshney
Neeraj Varshney
Applied Scientist at Amazon
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks
Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ...
EMNLP 2022 2204, 2022
721*2022
Benchmarking generalization via in-context instructions on 1,600+ language tasks
Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ...
EMNLP 2022, 2022
1312022
A stitch in time saves nine: Detecting and mitigating hallucinations of llms by validating low-confidence generation
N Varshney, W Yao, H Zhang, J Chen, D Yu
arXiv preprint arXiv:2307.03987, 2023
1192023
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
S Mishra, A Mitra, N Varshney, B Sachdeva, P Clark, C Baral, A Kalyan
ACL 2022, 2022
932022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
N Varshney, S Mishra, C Baral
ACL 2022 Findings, 2022
522022
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
N Varshney, P Dolin, A Seth, C Baral
ACL 2024 Findings, 2023
292023
Towards Improving Selective Prediction Ability of NLP Systems
N Varshney, S Mishra, C Baral
ACL 2022 RepL4NLP, 2022
262022
LogicBench: Towards systematic evaluation of logical reasoning ability of large language models
M Parmar, N Patel, N Varshney, M Nakamura, M Luo, S Mashetty, A Mitra, ...
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
22*2024
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
N Varshney, S Mishra, C Baral
ACL 2022, 2022
202022
" John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility
H Gupta, N Varshney, S Mishra, KK Pal, SA Sawant, K Scaria, S Goyal, ...
EACL 2023, 2023
192023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models
M Luo, S Kumbhar, M Parmar, N Varshney, P Banerjee, S Aditya, C Baral
arXiv preprint arXiv:2310.00836, 2023
192023
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’
N Varshney, A Chatterjee, M Parmar, C Baral
Findings of the Association for Computational Linguistics: NAACL 2024, 3656-3677, 2024
17*2024
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
N Varshney, C Baral
EMNLP 2022, 2022
172022
Unsupervised Natural Language Inference Using PHL Triplet Generation
N Varshney, P Banerjee, T Gokhale, C Baral
ACL 2022 Findings, 2022
152022
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
N Varshney, C Baral
ACL 2023, 2023
132023
Towards question format independent numerical reasoning: A set of prerequisite tasks
S Mishra, A Mitra, N Varshney, B Sachdeva, C Baral
ACL 2022, 2022
132022
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
N Varshney, M Luo, C Baral
AAAI'23 Workshop on Knowledge Augmented Methods for NLP, 2023
102023
It's better to say" I can't answer" than answering incorrectly: Towards Safety critical NLP systems
N Varshney, S Mishra, C Baral
ACL 2022 RepL4NLP, 2022
92022
Can Transformers Reason About Effects of Actions?
P Banerjee, C Baral, M Luo, A Mitra, K Pal, TC Son, N Varshney
arXiv preprint arXiv:2012.09938, 2020
92020
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference
M Nakamura, S Mashetty, M Parmar, N Varshney, C Baral
Findings of EMNLP 2023, 13322-13334, 2023
72023
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