Indraneil Paul

According to our database, Indraneil Paul authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Themis: Training Robust Multilingual Code Reward Models for Flexible Multi-Criteria Scoring.

Indraneil Paul, Goran Glavas, Iryna Gurevych

CoRR, May, 2026

Aletheia: What Makes RLVR For Code Verifiers Tick?

Vatsal Venkatkrishna, Indraneil Paul, Iryna Gurevych

CoRR, January, 2026

AICD Bench: A Challenging Benchmark for AI-Generated Code Detection.

Daniil Orel, Dilshod Azizov, Indraneil Paul, Yuxia Wang, Iryna Gurevych, Preslav Nakov

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data.

Shaoxiong Ji, Zihao Li, Jaakko Paavola, Indraneil Paul, Hengyu Luo, Jörg Tiedemann

CoRR, June, 2025

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

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, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding.

Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Droid: A Resource Suite for AI-Generated Code Detection.

Daniil Orel, Indraneil Paul, Iryna Gurevych, Preslav Nakov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models.

Shaoxiong Ji, Zihao Li, Indraneil Paul, Jaakko Paavola, Peiqin Lin, Pinzhen Chen, Dayyán O'Brien, Hengyu Luo, Hinrich Schütze, Jörg Tiedemann, Barry Haddow

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, 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

CoRR, 2024

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators.

Indraneil Paul, Jun Luo, Goran Glavas, Iryna Gurevych

CoRR, 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, 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.

CoRR, 2024

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators.

Indraneil Paul, Goran Glavas, Iryna Gurevych

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning.

Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data.

Indraneil Paul, Sumit Negi

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter.

Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta

Proceedings of the 11th ACM Conference on Web Science, 2019

Elites Tweet? Characterizing the Twitter Verified User Network.

Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra

Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019