Nihal Jain - RankMe

17 papers A* 2A 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling. CoRR Aradhya Gaonkar, Nihal Jain, Vignesh Chougule, Nikhil Deshpande, Sneha Varur, Channabasappa Muttal
2025	—	`conf`	LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. NAACL (Long Papers) Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2025	—	`conf`	On Mitigating Code LLM Hallucinations with API Documentation. SEIP@ICSE Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2024	J	`jnl`	Approximately Aligned Decoding. CoRR Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation. CoRR Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras
2024	J	`jnl`	On Mitigating Code LLM Hallucinations with API Documentation. CoRR Nihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar
2023	—	`conf`	ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
2023	A*	`conf`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	J	`jnl`	CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
2023	—	`conf`	MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. CHI Extended Abstracts Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
2023	A*	`conf`	MultiViz: Towards Visualizing and Understanding Multimodal Models. ICLR Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
2023	A	`conf`	Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. WSDM Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
2023	J	`jnl`	Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. CoRR Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni
2022	J	`jnl`	ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang
2022	J	`jnl`	MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. CoRR Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
2021	A	`conf`	Generating Compositional Color Representations from Text. CIKM Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay
2021	J	`jnl`	Generating Compositional Color Representations from Text. CoRR Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay