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Naman Jain
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2020 – today
- 2024
- [j4]Rohitash Chandra
, Abhishek Tiwari
, Naman Jain
, Sushrut Badhe:
Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount. IEEE Access 12: 84452-84469 (2024) - [c26]Alex Gu, Wen-Ding Li, Naman Jain, Theo Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? ACL (Findings) 2024: 74-117 - [c25]Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang:
Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR 2024 - [c24]Pranav Chatur
, Naman Jain
, Varun Trivedi
, Ayush Kumar Dhoot
, Sakthi Balan Muthiah
:
Google Search in India: Unveiling the Geo-Personalized Web. COMAD/CODS 2024: 403-411 - [c23]Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica:
LLM-Assisted Code Cleaning For Training Accurate Code Generators. ICLR 2024 - [i18]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu
, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i17]Alex Gu, Wen-Ding Li, Naman Jain, Theo X. Olausson, Celine Lee, Koushik Sen, Armando Solar-Lezama:
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? CoRR abs/2402.19475 (2024) - [i16]Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica:
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR abs/2403.07974 (2024) - [i15]Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez:
RAFT: Adapting Language Model to Domain Specific RAG. CoRR abs/2403.10131 (2024) - [i14]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - 2023
- [c22]Ravjot Singh, Prakhar Gupta, Naman Jain, Neetesh Kumar, Pravendra Singh:
A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. GLOBECOM 2023: 801-806 - [c21]Naman Jain, Ankit Khandelwal, M. Girish Chandra:
Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. QCE 2023: 286-287 - [i13]Naman Jain, Shubham Gandhi, Atharv Sonwane, Aditya Kanade, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
StaticFixer: From Static Analysis to Static Repair. CoRR abs/2307.12465 (2023) - [i12]Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang:
Revisiting Prompt Engineering via Declarative Crowdsourcing. CoRR abs/2308.03854 (2023) - [i11]Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica:
LLM-Assisted Code Cleaning For Training Accurate Code Generators. CoRR abs/2311.14904 (2023) - 2022
- [j3]Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain:
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. Trans. Mach. Learn. Res. 2022 (2022) - [c20]Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. ICSE 2022: 1219-1231 - 2021
- [c19]Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain, Mayank Singh:
ACL-SQL: Generating SQL Queries from Natural Language. COMAD/CODS 2021: 423 - [c18]Naman Jain, Mayank Singh:
TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers. JCDL 2021: 328-329 - [i10]Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain:
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. CoRR abs/2102.07567 (2021) - [i9]Akhilesh Ravi, Amit Kumar Singh Yadav
, Jainish Chauhan, Jatin Dholakia, Naman Jain, Mayank Singh:
SentEmojiBot: Empathising Conversations Generation with Emojis. CoRR abs/2105.12399 (2021) - [i8]Naman Jain, Mayank Singh:
TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers. CoRR abs/2106.07213 (2021) - [i7]Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. CoRR abs/2112.02969 (2021) - 2020
- [c17]Arjit Srivastava, Avijit Vajpayee, Syed Sarfaraz Akhtar, Naman Jain, Vinay Singh, Manish Shrivastava:
A Multi-Dimensional View of Aggression when voicing Opinion. TRAC@LREC 2020: 13-20 - [c16]Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra:
PlantDoc: A Dataset for Visual Plant Disease Detection. COMAD/CODS 2020: 249-253 - [c15]Akhilesh Ravi, Amit Kumar Singh Yadav, Jainish Chauhan, Jatin Dholakia, Naman Jain:
SentEmoji: A Dataset to Generate Empathising Conversations. COMAD/CODS 2020: 345-346 - [c14]Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh
, Mayank Singh:
NLPExplorer: Exploring the Universe of NLP Papers. ECIR (2) 2020: 476-480 - [c13]Ashish Kumar Kumar, Naman Jain, Preeti Malakar:
Network and Load-Aware Resource Manager for MPI Programs. ICPP Workshops 2020: 16:1-16:10 - [c12]Manas Satish Bedmutha
, Kaushal Modi, Kevin Patel, Naman Jain, Mayank Singh:
PredCheck: Detecting Predatory Behaviour in Scholarly World. JCDL 2020: 521-522 - [c11]Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi:
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? RepL4NLP@ACL 2020: 205-214 - [i6]Sriram Balasubramanian, Naman Jain, Gaurav Jindal, Abhijeet Awasthi, Sunita Sarawagi:
What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? CoRR abs/2007.06897 (2020) - [i5]Naman Jain, Ankush Chauhan, Atharva Chewale, Ojas Mithbavkar, Ujjaval Shah, Mayank Singh:
Bollyrics: Automatic Lyrics Generator for Romanised Hindi. CoRR abs/2007.12916 (2020)
2010 – 2019
- 2019
- [j2]Ashish Kumar Mishra
, Dharmendra Kumar Yadav, Yogesh Kumar
, Naman Jain:
Improving reliability and reducing cost of task execution on preemptible VM instances using machine learning approach. J. Supercomput. 75(4): 2149-2180 (2019) - [c10]Naman Jain, Sahil Shah, Abhishek Kumar, Arjun Jain:
On the Robustness of Human Pose Estimation. CVPR Workshops 2019 - [c9]Naman Jain, Mayank Singh:
The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. ICADL 2019: 78-92 - [i4]Naman Jain, Mayank Singh:
The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. CoRR abs/1906.06856 (2019) - [i3]Sahil Shah, Naman Jain, Abhishek Sharma, Arjun Jain:
On the Robustness of Human Pose Estimation. CoRR abs/1908.06401 (2019) - [i2]Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh:
NLPExplorer: Exploring the Universe of NLP Papers. CoRR abs/1910.07351 (2019) - [i1]Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra:
PlantDoc: A Dataset for Visual Plant Disease Detection. CoRR abs/1911.10317 (2019) - 2017
- [j1]Ilias Georgakopoulos-Soares, Naman Jain, Jesse M. Gray, Martin Hemberg:
MPRAnator: a web-based tool for the design of massively parallel reporter assay experiments. Bioinform. 33(1): 137-138 (2017) - [c8]Prateek Jain, Sagar Bhargava, Naman Jain, Shelly Sachdeva
, Shivani Batra, Subhash Bhalla
:
Healthsurance - Mobile App for Standardized Electronic Health Records Database. DMAH@VLDB 2017: 136-153 - 2016
- [c7]Riyaz Ahmad Bhat, Irshad Ahmad Bhat, Naman Jain, Dipti Misra Sharma:
A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu. COLING 2016: 397-408 - [c6]Kanpata Sudhakara Rao, Naman Jain, Nikhil Limaje, Abhilash Gupta, Mridul Jain, Bernard Menezes:
Two for the price of one: A combined browser defense against XSS and clickjacking. ICNC 2016: 1-6 - 2015
- [c5]Sambhav Jain, Naman Jain, Bhasha Agrawal, Rajeev Sangal:
Employing Oracle Confusion for Parse Quality Estimation. CICLing (1) 2015: 213-226 - 2014
- [c4]Naman Jain, Riyaz Ahmad Bhat:
Language Identification in Code-Switching Scenario. CodeSwitch@EMNLP 2014: 87-93 - 2013
- [c3]Naman Jain, Manuel Pozo, Raja Chiky, Zakia Kazi-Aoul:
Sampling Semantic Data Stream: Resolving Overload and Limited Storage Issues. DaEng 2013: 41-48 - [c2]Sambhav Jain, Naman Jain, Aniruddha Tammewar, Riyaz Ahmad Bhat, Dipti Misra Sharma:
Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing. IJCNLP 2013: 189-197 - [c1]Naman Jain, Sambhav Jain:
Effective Parsing for Human Aided NLP Systems. IWPT 2013: 141-146
Coauthor Index
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last updated on 2024-08-27 21:54 CEST by the dblp team
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