Sampling Semantic Data Stream: Resolving Overload and Limited Storage Issues. - Naman Jain; Manuel Pozo; Raja Chiky; Zakia Kazi-Aoul (DaEng, 2013)

Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing. - Sambhav Jain; Naman Jain; Aniruddha Tammewar; Riyaz Ahmad Bhat; Dipti Misra Sharma (IJCNLP, 2013)

Effective Parsing for Human Aided NLP Systems. - Naman Jain; Sambhav Jain (IWPT, 2013)

Language Identification in Code-Switching Scenario. - Naman Jain; Riyaz Ahmad Bhat (CodeSwitch@EMNLP, 2014)

Employing Oracle Confusion for Parse Quality Estimation. - Sambhav Jain; Naman Jain; Bhasha Agrawal; Rajeev Sangal (CICLing (1), 2015)

A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu. - Riyaz Ahmad Bhat; Irshad Ahmad Bhat; Naman Jain; Dipti Misra Sharma (COLING, 2016)

Two for the price of one: A combined browser defense against XSS and clickjacking. - Kanpata Sudhakara Rao; Naman Jain; Nikhil Limaje; Abhilash Gupta; Mridul Jain; Bernard Menezes (ICNC, 2016)

Healthsurance - Mobile App for Standardized Electronic Health Records Database. - Prateek Jain 007; Sagar Bhargava; Naman Jain; Shelly Sachdeva; Shivani Batra; Subhash Bhalla (DMAH@VLDB, 2017)

MPRAnator: a web-based tool for the design of massively parallel reporter assay experiments. - Ilias Georgakopoulos-Soares; Naman Jain; Jesse M. Gray; Martin Hemberg (Bioinform., 2017)

On the Robustness of Human Pose Estimation. - Naman Jain; Sahil Shah; Abhishek Kumar; Arjun Jain (CVPR Workshops, 2019)

The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective. - Naman Jain; Mayank Singh 001 (ICADL, 2019)

On the Robustness of Human Pose Estimation. - Sahil Shah; Naman Jain; Abhishek Sharma; Arjun Jain (CoRR, 2019)

Improving reliability and reducing cost of task execution on preemptible VM instances using machine learning approach. - Ashish Kumar Mishra 001; Dharmendra Kumar Yadav; Yogesh Kumar; Naman Jain (J. Supercomput., 2019)

A Multi-Dimensional View of Aggression when voicing Opinion. - Arjit Srivastava; Avijit Vajpayee; Syed Sarfaraz Akhtar; Naman Jain; Vinay Singh; Manish Shrivastava 001 (TRAC@LREC, 2020)

SentEmoji: A Dataset to Generate Empathising Conversations. - Akhilesh Ravi; Amit Kumar Singh Yadav; Jainish Chauhan; Jatin Dholakia; Naman Jain (COMAD/CODS, 2020)

PlantDoc: A Dataset for Visual Plant Disease Detection. - Davinder Singh; Naman Jain; Pranjali Jain; Pratik Kayal; Sudhakar Kumawat; Nipun Batra 001 (COMAD/CODS, 2020)

NLPExplorer: Exploring the Universe of NLP Papers. - Monarch Parmar; Naman Jain; Pranjali Jain; P. Jayakrishna Sahit; Soham Pachpande; Shruti Singh 001; Mayank Singh 001 (ECIR (2), 2020)

Network and Load-Aware Resource Manager for MPI Programs. - Ashish Kumar Kumar; Naman Jain; Preeti Malakar (ICPP Workshops, 2020)

PredCheck: Detecting Predatory Behaviour in Scholarly World. - Manas Satish Bedmutha; Kaushal Modi; Kevin Patel; Naman Jain; Mayank Singh 001 (JCDL, 2020)

What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? - Sriram Balasubramanian; Naman Jain; Gaurav Jindal; Abhijeet Awasthi; Sunita Sarawagi (RepL4NLP@ACL, 2020)

Bollyrics: Automatic Lyrics Generator for Romanised Hindi. - Naman Jain; Ankush Chauhan; Atharva Chewale; Ojas Mithbavkar; Ujjaval Shah; Mayank Singh 001 (CoRR, 2020)

ACL-SQL: Generating SQL Queries from Natural Language. - Ronak Kaoshik; Rohit Patil; Prakash R; Shaurya Agarawal; Naman Jain; Mayank Singh 001 (COMAD/CODS, 2021)

TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers. - Naman Jain; Mayank Singh 001 (JCDL, 2021)

SentEmojiBot: Empathising Conversations Generation with Emojis. - Akhilesh Ravi; Amit Kumar Singh Yadav; Jainish Chauhan; Jatin Dholakia; Naman Jain; Mayank Singh 001 (CoRR, 2021)

Future of E-commerce by Implementing Blockchain Payments System. - G. Nagarajan; Naman Jain; R. Naman Rathore (IconDeepCom, 2022)

Jigsaw: Large Language Models meet Program Synthesis. - Naman Jain; Skanda Vaidyanath; Arun Iyer; Nagarajan Natarajan; Suresh Parthasarathy; Sriram K. Rajamani; Rahul Sharma 001 (ICSE, 2022)

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. - Ajaykrishna Karthikeyan; Naman Jain; Nagarajan Natarajan; Prateek Jain 002 (Trans. Mach. Learn. Res., 2022)

A Host Kernel-Based Approach for Tracing and Analyzing vCPUs in Virtual Machines. - Ravjot Singh; Prakhar Gupta; Naman Jain; Neetesh Kumar; Pravendra Singh (GLOBECOM, 2023)

Efficient and Flexible Annealer-Gate Hybrid Model for Solving Large-Scale Portfolio Optimization. - Naman Jain; Ankit Khandelwal; M. Girish Chandra (QCE, 2023)

StaticFixer: From Static Analysis to Static Repair. - Naman Jain; Shubham Gandhi; Atharv Sonwane; Aditya Kanade 001; Nagarajan Natarajan; Suresh Parthasarathy; Sriram K. Rajamani; Rahul Sharma 001 (CoRR, 2023)

The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations? - Alex Gu; Wen-Ding Li; Naman Jain; Theo Olausson; Celine Lee; Koushik Sen; Armando Solar-Lezama (ACL (Findings), 2024)

Revisiting Prompt Engineering via Declarative Crowdsourcing. - Aditya G. Parameswaran; Shreya Shankar; Parth Asawa; Naman Jain; Yujie Wang (CIDR, 2024)

A Novel and Scalable Framework for Analyzing Building Energy Efficiency. - Naman Jain; Khushi Dave; Amaan Khan; Harsh Loya; Rahul Pandey; Anshul Agarwal (CoCoLe, 2024)

Google Search in India: Unveiling the Geo-Personalized Web. - Pranav Chatur; Naman Jain; Varun Trivedi; Ayush Kumar Dhoot; Sakthi Balan Muthiah (COMAD/CODS, 2024)

LLM-Assisted Code Cleaning For Training Accurate Code Generators. - Naman Jain; Tianjun Zhang; Wei-Lin Chiang; Joseph E. Gonzalez; Koushik Sen; Ion Stoica (ICLR, 2024)

R2E: Turning any Github Repository into a Programming Agent Environment. - Naman Jain; Manish Shetty; Tianjun Zhang; King Han; Koushik Sen; Ion Stoica (ICML, 2024)

SelfCodeAlign: Self-Alignment for Code Generation. - Yuxiang Wei 003; Federico Cassano; Jiawei Liu 004; Yifeng Ding; Naman Jain; Zachary Mueller; Harm de Vries; Leandro von Werra; Arjun Guha; Lingming Zhang 001 (NeurIPS, 2024)

Large Language Models for Metaphor Detection: Bhagavad Gita and Sermon on the Mount. - Rohitash Chandra; Abhishek Tiwari; Naman Jain; Sushrut Badhe (IEEE Access, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

RAFT: Adapting Language Model to Domain Specific RAG. - Tianjun Zhang; Shishir G. Patil; Naman Jain; Sheng Shen 001; Matei Zaharia; Ion Stoica; Joseph E. Gonzalez (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

Parallel Graph Drawing Algorithm for Bipartite Planar Graphs. - Naman Jain (CoRR, 2024)

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis. - Manish Shetty; Naman Jain; Adwait Godbole; Sanjit A. Seshia; Koushik Sen (CoRR, 2024)

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. - Naman Jain; King Han; Alex Gu; Wen-Ding Li; Fanjia Yan; Tianjun Zhang; Sida Wang 001; Armando Solar-Lezama; Koushik Sen; Ion Stoica (ICLR, 2025)

QuFeX: Quantum feature extraction module for hybrid quantum-classical deep neural networks. - Naman Jain; Amir Kalev (CoRR, 2025)

Copilot Arena: A Platform for Code LLM Evaluation in the Wild. - Wayne Chi; Valerie Chen; Anastasios Nikolas Angelopoulos; Wei-Lin Chiang; Aditya Mittal; Naman Jain; Tianjun Zhang; Ion Stoica; Chris Donahue; Ameet Talwalkar (CoRR, 2025)

Challenges and Paths Towards AI for Software Engineering. - Alex Gu; Naman Jain; Wen-Ding Li; Manish Shetty; Yijia Shao; Ziyang Li; Diyi Yang; Kevin Ellis; Koushik Sen; Armando Solar-Lezama (CoRR, 2025)

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents. - Naman Jain; Jaskirat Singh; Manish Shetty; Liang Zheng 001; Koushik Sen; Ion Stoica (CoRR, 2025)

Waymo Driverless Car Data Analysis and Driving Modeling using CNN and LSTM. - Aashish Kumar Misraa; Naman Jain; Saurav Singh Dhakad (CoRR, 2025)

GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents. - Manish Shetty; Naman Jain; Jinjian Liu; Vijay Kethanaboyina; Koushik Sen; Ion Stoica (CoRR, 2025)