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In-Context Learning
419 directly classified papers
Papers per year
2008: 1
2020: 3
2022: 22
2023: 90
2024: 142
2025: 160
2026: 1
Papers
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
NIPS 2024
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
NIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
NIPS 2024
TableRAG: Million-Token Table Understanding with Language Models
NIPS 2024
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
NIPS 2024
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
ACL 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024
Zero-shot Scientific Claim Verification Using LLMs and Citation Text
ACL 2024
ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
ACL 2024
DS-Group at SIGHAN-2024 dimABSA Task: Constructing In-context Learning Structure for Dimensional Aspect-Based Sentiment Analysis
ACL 2024
Are Emergent Abilities in Large Language Models just In-Context Learning?
ACL 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction
EMNLP 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs
EMNLP 2024
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
EMNLP 2024
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
EMNLP 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities
EMNLP 2024
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
EMNLP 2024
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
EMNLP 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
EMNLP 2024
C-ICL: Contrastive In-context Learning for Information Extraction
EMNLP 2024
Large Language Models are In-context Teachers for Knowledge Reasoning
EMNLP 2024
Chain of Thoughtlessness? An Analysis of CoT in Planning
NIPS 2024
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