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Neeraj Varshney
Number of Papers:- 17
Number of Citations:- 0
First ACL Paper:- 2022
Latest ACL Paper:- 2024
Venues:-
NAACL
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EMNLP
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Findings
DeepLo
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ACL
EACL
RepL4NLP
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Co-Authors:-
Aashna Budhiraja
Agastya Seth
Agneet Chatterjee
Amirreza Mirzaei
Anjana Arunkumar
Similar Authors:-
2024
2023
2022
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’
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Neeraj Varshney |
Agneet Chatterjee |
Mihir Parmar |
Chitta Baral |
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
ACL
Mihir Parmar |
Nisarg Patel |
Neeraj Varshney |
Mutsumi Nakamura |
Man Luo |
Santosh Mashetty |
Arindam Mitra |
Chitta Baral |
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness
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Neeraj Varshney |
Pavel Dolin |
Agastya Seth |
Chitta Baral |
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies
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Aswin Rrv |
Nemika Tyagi |
Md Nayem Uddin |
Neeraj Varshney |
Chitta Baral |
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
EMNLP
Nisarg Patel |
Mohith Kulkarni |
Mihir Parmar |
Aashna Budhiraja |
Mutsumi Nakamura |
Neeraj Varshney |
Chitta Baral |
“John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility
EACL
Himanshu Gupta |
Neeraj Varshney |
Swaroop Mishra |
Kuntal Kumar Pal |
Saurabh Arjun Sawant |
Kevin Scaria |
Siddharth Goyal |
Chitta Baral |
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference
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Mutsumi Nakamura |
Santosh Mashetty |
Mihir Parmar |
Neeraj Varshney |
Chitta Baral |
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
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Neeraj Varshney |
Himanshu Gupta |
Eric Robertson |
Bing Liu |
Chitta Baral |
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
ACL
Neeraj Varshney |
Chitta Baral |
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
ACL
Findings
Neeraj Varshney |
Swaroop Mishra |
Chitta Baral |
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
ACL
Swaroop Mishra |
Arindam Mitra |
Neeraj Varshney |
Bhavdeep Sachdeva |
Peter Clark |
Chitta Baral |
Ashwin Kalyan |
Unsupervised Natural Language Inference Using PHL Triplet Generation
ACL
Findings
Neeraj Varshney |
Pratyay Banerjee |
Tejas Gokhale |
Chitta Baral |
Towards Improving Selective Prediction Ability of NLP Systems
ACL
RepL4NLP
Neeraj Varshney |
Swaroop Mishra |
Chitta Baral |
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
ACL
Neeraj Varshney |
Swaroop Mishra |
Chitta Baral |
Let the Model Decide its Curriculum for Multitask Learning
DeepLo
NAACL
Neeraj Varshney |
Swaroop Mishra and Chitta Baral |
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP
Yizhong Wang |
Swaroop Mishra |
Pegah Alipoormolabashi |
Yeganeh Kordi |
Amirreza Mirzaei |
Atharva Naik |
Arjun Ashok |
Arut Selvan Dhanasekaran |
Anjana Arunkumar |
David Stap |
Eshaan Pathak |
Giannis Karamanolakis |
Haizhi Lai |
Ishan Purohit |
Ishani Mondal |
Jacob Anderson |
Kirby Kuznia |
Krima Doshi |
Kuntal Kumar Pal |
Maitreya Patel |
Mehrad Moradshahi |
Mihir Parmar |
Mirali Purohit |
Neeraj Varshney |
Phani Rohitha Kaza |
Pulkit Verma |
Ravsehaj Singh Puri |
Rushang Karia |
Savan Doshi |
Shailaja Keyur Sampat |
Siddhartha Mishra |
Sujan Reddy A |
Sumanta Patro |
Tanay Dixit |
Xudong Shen |
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
EMNLP
Neeraj Varshney |
Chitta Baral |
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