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In-Context Learning

Papers

Showing 376400 of 2297 papers

TitleStatusHype
Hallucination, Monofacts, and Miscalibration: An Empirical InvestigationCode0
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks0
DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations0
Investigating the Zone of Proximal Development of Language Models for In-Context LearningCode0
Few-shot_LLM_Synthetic_Data_with_Distribution_MatchingCode0
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training0
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data0
OntoTune: Ontology-Driven Self-training for Aligning Large Language ModelsCode1
Extracting and Understanding the Superficial Knowledge in AlignmentCode0
LLM-Supported Natural Language to Bash TranslationCode1
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture0
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context0
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval0
Exploring Imbalanced Annotations for Effective In-Context Learning0
BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation0
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical EvidenceCode0
Analyzing limits for in-context learning0
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models0
OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds0
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Is In-Context Universality Enough? MLPs are Also Universal In-Context0
Path Planning for Masked Diffusion Model Sampling0
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample SizesCode1
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems0
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