Prateek Yadav

16 papers · 2019–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🧭 Keyword Pioneer 👥 Mega-Team · Squad 🤝 Dynamic Duo (10) 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (70)

Venues

ACL (4) ICLR (3) NeurIPS (3) AISTATS (2) EMNLP (2) COLING (1) NAACL (1)

Top co-authors

Mohit Bansal (10) Partha Talukdar (4) Swarnadeep Saha (3) Shikhar Vashishth (3) Pingzhi Li (2) Tianlong Chen (2) Yi-Lin Sung (2) Naganand Yadati (2) Madhav Nimishakavi (2) Vu Minh Chien (2)

Research topics

Machine Learning (13) Deep Learning (10) Learning Types · Machine Learning (9) Architectures (7) Artificial Intelligence (5) Natural Language Processing (5) Application Areas (5) Core AI (5) Core Methods (4) Learning Types · Deep Learning (4) Generation (3) Learning Paradigms (2) Resources & Methods (2) Computer Science (1) Knowledge & Reasoning (1)

Keywords

graph convolutional network (4) code generation (3) semi-supervised learning (3) large language model (3) catastrophic forgetting (3) graph generation (2) model merging (2) message passing (2) explanation graph (2) node classification (2) continual learning (2) mixture of expert (2) graph neural network (2) multi-label classification (1) dependency parsing (1) knowledge distillation (1) knowledge transfer (1) zero-shot learning (1) contrastive learning (1) self-supervised learning (1)

Papers

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code COLING 2025 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions ICLR 2025 Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025 D^2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning ICLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024 Exclusive Supermask Subnetwork Training for Continual Learning ACL 2023 Exploring Continual Learning for Code Generation Models ACL 2023 Self-Chained Image-Language Model for Video Localization and Question Answering NeurIPS 2023 TIES-Merging: Resolving Interference When Merging Models NeurIPS 2023 Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL 2022 ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning EMNLP 2021 multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning NAACL 2021 Confidence-based Graph Convolutional Networks for Semi-Supervised Learning AISTATS 2019 HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS 2019 Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks ACL 2019 Lovasz Convolutional Networks AISTATS 2019