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In-Context Learning

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Showing 2251–2297 of 2297 papers

TitleStatusHype
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning—0
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling—0
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension—0
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries—0
Quantifying and Enabling the Interpretability of CLIP-like Models—0
Quantifying Interpretability in CLIP Models with Concept Consistency—0
Question Suggestion for Conversational Shopping Assistants Using Product Metadata—0
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
Rapid Word Learning Through Meta In-Context Learning—0
Rationale-Augmented Ensembles in Language Models—0
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL—0
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models—0
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models—0
Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation—0
Reasoning with Large Language Models, a Survey—0
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction—0
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts—0
Re-examining learning linear functions in context—0
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models—0
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments—0
Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization—0
Relational Programming with Foundation Models—0
Repetition Neurons: How Do Language Models Produce Repetitions?—0
Repetitions are not all alike: distinct mechanisms sustain repetition in language models—0
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—0
Rethinking Graph Structure Learning in the Era of LLMs—0
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
Retrieval-Augmented Code Generation for Universal Information Extraction—0
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
Retrieval Augmented End-to-End Spoken Dialog Models—0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
Retrieval-Augmented Multimodal Language Modeling—0
Retrieval-Enhanced Named Entity Recognition—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
Retrieved In-Context Principles from Previous Mistakes—0
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot—0
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models—0
Revisiting In-Context Learning with Long Context Language Models—0
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models—0
Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking—0
RL2: Reinforce Large Language Model to Assist Safe Reinforcement Learning for Energy Management of Active Distribution Networks—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
Robust Neural Processes for Noisy Data—0
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