Vignesh Kothapalli

5 papers · 2023–2026 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (19) 👥 Mega-Team · Squad

Venues

ACL (2) EMNLP (1) ICML (1) NeurIPS (1)

Top co-authors

Maziar Sanjabi (2) Ata Fatahibaarzi (2) Hamed Firooz (2) Yun Dai (1) Zhipeng Wang (1) Zhoutong Fu (1) Aman Gupta (1) Kayhan Behdin (1) Rahul Mazumder (1) Gregory Dexter (1)

Research topics

Deep Learning (5) Machine Learning (4) Architectures (3) Learning Types · Deep Learning (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Learning Types · Machine Learning (2) Application Areas (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

node classification (2) in-context learning (2) graph laplacian (1) knowledge distillation (1) chain-of-thought reasoning (1) efficient computing (1) causal structure (1) stochastic block model (1) spectral method (1) neural collapse (1) recommendation system (1) recommender system (1) structured pruning (1) graph augmentation (1) graph contrastive learning (1) synthetic dataset (1) small language model (1) large language model (1) graph neural network (1) schur complement (1)

Papers

To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples ACL 2026 CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025 Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025 A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks NeurIPS 2023 Randomized Schur Complement Views for Graph Contrastive Learning ICML 2023