SOTAVerified

In-Context Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 2297 papers

TitleStatusHype
The Prompt is Mightier than the Example—0
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning—0
Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to MultimodalityCode3
Next-token pretraining implies in-context learning—0
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning—0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability—0
Learning Beyond Limits: Multitask Learning and Synthetic Data for Low-Resource Canonical Morpheme Segmentation—0
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence—0
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context LearningCode0
IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm DetectionCode0
Unsupervised Prompting for Graph Neural Networks—0
In-Context Watermarks for Large Language Models—0
Understanding Prompt Tuning and In-Context Learning via Meta-LearningCode0
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector—0
Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories—0
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval AugmentationCode1
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex—0
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation—0
Large Language Models as Computable Approximations to Solomonoff Induction—0
Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization—0
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties—0
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective—0
DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation—0
Adversarially Pretrained Transformers may be Universally Robust In-Context LearnersCode0
Mechanistic Fine-tuning for In-context Learning—0
QA-prompting: Improving Summarization with Large Language Models using Question-AnsweringCode0
Reasoning Models Better Express Their ConfidenceCode1
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding—0
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers—0
AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database—0
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance—0
CIE: Controlling Language Model Text Generations Using Continuous SignalsCode0
Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration—0
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context LearningCode1
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RECode1
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models—0
Do different prompting methods yield a common task representation in language models?—0
Transformer learns the cross-task prior and regularization for in-context learning—0
Transformers as Unsupervised Learning Algorithms: A study on Gaussian MixturesCode0
Feasibility with Language Models for Open-World Compositional Zero-Shot Learning—0
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs—0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning—0
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context LearningCode0
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context OptimizationCode1
Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers—0
A Survey on Large Language Models in Multimodal Recommender Systems—0
Towards Fair In-Context Learning with Tabular Foundation ModelsCode0
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation—0
Automated Meta Prompt Engineering for Alignment with the Theory of Mind—0
Show:102550
← PrevPage 3 of 46Next →

No leaderboard results yet.