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In-Context Learning

436 papers

Papers per year

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3
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Papers

A Simple Image Segmentation Framework via In-Context Examples NIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning NIPS 2024
Estimating the Hallucination Rate of Generative AI NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024
Fast Best-of-N Decoding via Speculative Rejection NIPS 2024
Where does In-context Learning Happen in Large Language Models? NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models NIPS 2024
Linear Transformers are Versatile In-Context Learners NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts NIPS 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NIPS 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NIPS 2024
Opponent Modeling with In-context Search NIPS 2024
Make Your LLM Fully Utilize the Context NIPS 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NIPS 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NIPS 2024
Chain-of-Thought Reasoning Without Prompting NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NIPS 2024