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In-Context Learning

336 directly classified papers

Papers per year

Papers

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024
SecCoder: Towards Generalizable and Robust Secure Code Generation EMNLP 2024
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models EMNLP 2024
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning EMNLP 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024
In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024
Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024
Defending Jailbreak Prompts via In-Context Adversarial Game EMNLP 2024
Thoughts to Target: Enhance Planning for Target-driven Conversation EMNLP 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models EMNLP 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems EMNLP 2024
Intent Detection in the Age of LLMs EMNLP 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations EMNLP 2024
Scaling Sentence Embeddings with Large Language Models EMNLP 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024
Can we teach language models to gloss endangered languages? EMNLP 2024
Toolken+: Improving LLM Tool Usage with Reranking and a Reject Option EMNLP 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024