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In-Context Learning

336 directly classified papers

Papers per year

Papers

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding EMNLP 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models EMNLP 2024
LLM as a metric critic for low resource relation identification EMNLP 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles EMNLP 2024
Analyzing Context Contributions in LLM-based Machine Translation EMNLP 2024
Inference and Verbalization Functions During In-Context Learning EMNLP 2024
Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives EMNLP 2024
A Simple Image Segmentation Framework via In-Context Examples NIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024
Where does In-context Learning Happen in Large Language Models? NIPS 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Linear Transformers are Versatile In-Context Learners NIPS 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner 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
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NIPS 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NIPS 2024