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In-Context Learning

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Showing 351–400 of 2297 papers

TitleStatusHype
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on ManchuCode1
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs—0
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration ExemplarsCode0
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL—0
Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment—0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning—0
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme ModerationCode0
Lost in the Passage: Passage-level In-context Learning Does Not Necessarily Need a "Passage"—0
BASE-SQL: A powerful open source Text-To-SQL baseline approachCode1
Large Language Diffusion ModelsCode7
Solving Empirical Bayes via Transformers—0
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?—0
From Markov to Laplace: How Mamba In-Context Learns Markov ChainsCode0
The Ann Arbor Architecture for Agent-Oriented ProgrammingCode0
Task Generalization With AutoRegressive Compositional Structure: Can Learning From Tasks Generalize to ^T Tasks?—0
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning—0
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection ModelCode0
What exactly has TabPFN learned to do?Code0
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept UnderstandingCode0
AuPair: Golden Example Pairs for Code Repair—0
In-Context Learning of Linear Dynamical Systems with Transformers: Error Bounds and Depth-Separation—0
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error CorrectionCode0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models—0
Hallucination, Monofacts, and Miscalibration: An Empirical InvestigationCode0
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks—0
DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models—0
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations—0
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 Training—0
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data—0
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 Architecture—0
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context—0
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval—0
Exploring Imbalanced Annotations for Effective In-Context Learning—0
BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation—0
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical EvidenceCode0
Analyzing limits for in-context learning—0
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models—0
OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds—0
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Is In-Context Universality Enough? MLPs are Also Universal In-Context—0
Path Planning for Masked Diffusion Model Sampling—0
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample SizesCode1
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems—0
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