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In-Context Learning

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TitleStatusHype
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Controlling Large Language Model Agents with Entropic Activation Steering—0
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes—0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When—0
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN ManipulationCode0
Mamba State-Space Models Are Lyapunov-Stable Learners—0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference HeadsCode0
Why Larger Language Models Do In-context Learning Differently?—0
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems—0
Does learning the right latent variables necessarily improve in-context learning?Code0
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification—0
A Theoretical Understanding of Self-Correction through In-context Alignment—0
Benchmarks Underestimate the Readiness of Multi-lingual Dialogue Agents—0
IM-Context: In-Context Learning for Imbalanced Regression TasksCode0
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting—0
Multi-modal Generation via Cross-Modal In-Context LearningCode0
On Understanding Attention-Based In-Context Learning for Categorical Data—0
SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself—0
Benchmarking General-Purpose In-Context Learning—0
Unifying Demonstration Selection and Compression for In-Context Learning—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and CapabilityCode0
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering—0
On the Noise Robustness of In-Context Learning for Text GenerationCode0
Automatic Domain Adaptation by Transformers in In-Context Learning—0
Learning to Reason via Program Generation, Emulation, and SearchCode0
Mixture of In-Context Prompters for Tabular PFNs—0
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of ExemplarsCode0
Unsupervised Meta-Learning via In-Context Learning—0
Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor—0
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context LearningCode0
Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs—0
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems—0
Towards Global Optimal Visual In-Context Learning Prompt Selection—0
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification—0
Linking In-context Learning in Transformers to Human Episodic MemoryCode0
In-context Time Series Predictor—0
Evaluating Large Language Models for Public Health Classification and Extraction Tasks—0
Emotion Identification for French in Written Texts: Considering their Modes of Expression as a Step Towards Text Complexity Analysis—0
Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning—0
DETAIL: Task DEmonsTration Attribution for Interpretable In-context LearningCode0
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting—0
Quantifying Semantic Emergence in Language ModelsCode0
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context LearningCode0
Asymptotic theory of in-context learning by linear attentionCode0
Effective In-Context Example Selection through Data Compression—0
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning—0
Large Language Models are Biased Reinforcement LearnersCode0
Feature-Adaptive and Data-Scalable In-Context LearningCode0
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