Prateek Yadav
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. | Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Nour Moustafa-Fahmy, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Hiep Nguyen, Sampo Pyysalo |
| 2025 | EMNLP | Glider: Global and Local Instruction-Driven Expert Router. | Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen |
| 2025 | ICLR | 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. |
| 2024 | ICLR | Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. | Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen |
| 2024 | ICLR | D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. | Adyasha Maharana, Prateek Yadav, Mohit Bansal |
| 2023 | ACL | Exclusive Supermask Subnetwork Training for Continual Learning. | Prateek Yadav, Mohit Bansal |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang |
| 2022 | ACL | Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2021 | EMNLP | ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. | Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal |
| 2021 | NAACL | multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2020 | CIKM | NHP: Neural Hypergraph Link Prediction. | Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar |
| 2019 | ACL | Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. | Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar |
| 2019 | AISTATS | Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. | Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar |
| 2019 | AISTATS | Lovasz Convolutional Networks. | Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar |