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In-Context Learning

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Showing 1501–1525 of 2297 papers

TitleStatusHype
ChatHuman: Chatting about 3D Humans with Tools—0
ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning—0
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents—0
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation—0
Clinical Insights: A Comprehensive Review of Language Models in Medicine—0
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models—0
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge—0
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations—0
The Curious Case of Class Accuracy Imbalance in LLMs: Post-hoc Debiasing via Nonlinear Integer Programming—0
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning—0
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation—0
Collaborating with language models for embodied reasoning—0
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection—0
ColorFlow: Retrieval-Augmented Image Sequence Colorization—0
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection—0
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting—0
Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks—0
Compositional Instruction Following with Language Models and Reinforcement Learning—0
Compositional Text-to-Image Generation with Dense Blob Representations—0
Concept-aware Data Construction Improves In-context Learning of Language Models—0
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models—0
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