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In-Context Learning

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Showing 1101–1150 of 2297 papers

TitleStatusHype
Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods—0
Interpreting Affine Recurrence Learning in GPT-style Transformers—0
Large Language Models are In-context Preference Learners—0
In Context Learning and Reasoning for Symbolic Regression with Large Language ModelsCode0
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models—0
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought ReasoningCode0
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration—0
Analyzing Context Contributions in LLM-based Machine Translation—0
How Aligned are Generative Models to Humans in High-Stakes Decision-Making?—0
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems—0
Provable In-context Learning for Mixture of Linear Regressions using Transformers—0
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs—0
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language ModelsCode0
Personalized Adaptation via In-Context Preference Learning—0
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles—0
Retrieval-Enhanced Named Entity Recognition—0
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' PosteriorsCode0
BenTo: Benchmark Task Reduction with In-Context TransferabilityCode0
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery—0
Repetition Neurons: How Do Language Models Produce Repetitions?—0
In-context learning and Occam's razorCode0
Learning Metadata-Agnostic Representations for Text-to-SQL In-Context Example Selection—0
MuVi: Video-to-Music Generation with Semantic Alignment and Rhythmic Synchronization—0
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree—0
In-Context Learning Enables Robot Action Prediction in LLMs—0
Context-Scaling versus Task-Scaling in In-Context Learning—0
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability—0
In-Context Learning for Long-Context Sentiment Analysis on Infrastructure Project Opinions—0
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures—0
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models—0
BSM: Small but Powerful Biological Sequence Model for Genes and Proteins—0
How Transformers Get Rich: Approximation and Dynamics Analysis—0
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent—0
State-space models can learn in-context by gradient descent—0
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning—0
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context LearningCode0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement—0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs—0
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies—0
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models—0
Can In-context Learning Really Generalize to Out-of-distribution Tasks?—0
Inference and Verbalization Functions During In-Context LearningCode0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study—0
On-Chip Learning via Transformer In-Context Learning—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models—0
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