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Neeraj Varshney
Neeraj Varshney
5th year PhD Candidate at ASU
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
422*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
1042022
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
612022
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
402023
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
N Varshney, S Mishra, C Baral
ACL 2022 Findings, 2022
392022
Towards Improving Selective Prediction Ability of NLP Systems
N Varshney, S Mishra, C Baral
ACL 2022 RepL4NLP, 2022
162022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
N Varshney, S Mishra, C Baral
ACL 2022, 2022
162022
" 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
152023
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
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
N Varshney, C Baral
EMNLP 2022, 2022
112022
Unsupervised Natural Language Inference Using PHL Triplet Generation
N Varshney, P Banerjee, T Gokhale, C Baral
ACL 2022 Findings, 2022
92022
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 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
82023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
N Varshney, C Baral
ACL 2023, 2023
72023
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
72020
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE
N Varshney, A Chatterjee, M Parmar, C Baral
NAACL 2024 Findings, 2023
6*2023
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
42023
Let the Model Decide its Curriculum for Multitask Learning
N Varshney, S Mishra, C Baral
NAACL 2022 Deep Learning for Low-Resource NLP, 2022
42022
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
32023
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
N Varshney, M Parmar, N Patel, D Handa, S Sarkar, M Luo, C Baral
arXiv preprint arXiv:2305.12096, 2023
32023
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