Rahul Ramesh
14 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (4) 🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
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Academic Marathon
(6)
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Cross-Pollinator
(4)
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Keyword Collector
(53)
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Prolific Year
(6)
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Century Club
(14)
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The Questioner
Conferences
ICML (6)
ACL (2)
SEMEVAL (2)
ICCV (1)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
zero-shot learning
(2)
tabular datum
(2)
instruction tuning
(2)
named entity recognition
(2)
question answering
(2)
chain of thought
(2)
representation learning
(2)
semi-supervised learning
(2)
code generation
(2)
domain generalization
(1)
data augmentation
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
feature learning
(1)
contrastive learning
(1)
hierarchical classification
(1)
empirical risk minimization
(1)
text classification
(1)
pac learning
(1)
Papers
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
ICML 2025
TartanTritons at SemEval-2025 Task 10: Multilingual Hierarchical Entity Classification and Narrative Reasoning using Instruct-Tuned LLMs
ACL 2025
ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data
ACL 2025
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
ICCV 2025
ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data
SEMEVAL 2025
TartanTritons at SemEval-2025 Task 10: Multilingual Hierarchical Entity Classification and Narrative Reasoning using Instruct-Tuned LLMs
SEMEVAL 2025
Prospective Learning: Learning for a Dynamic Future
NIPS 2024
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
ICML 2024
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
ICML 2024
The Value of Out-of-Distribution Data
ICML 2023
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Model Zoo: A Growing Brain That Learns Continually
ICLR 2022
Deep Reference Priors: What is the best way to pretrain a model?
ICML 2022
Successor Options: An Option Discovery Framework for Reinforcement Learning
IJCAI 2019