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In-Context Learning

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TitleStatusHype
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts—0
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models—0
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge—0
How Does In-Context Learning Help Prompt Tuning?—0
AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models—0
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models—0
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models—0
Clinical Insights: A Comprehensive Review of Language Models in Medicine—0
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs—0
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory—0
Exploring the Relationship between In-Context Learning and Instruction Tuning—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
Exploring the Learning Capabilities of Language Models using LEVERWORLDS—0
How good are Large Language Models on African Languages?—0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When—0
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?—0
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
How Robust are LLMs to In-Context Majority Label Bias?—0
Clarifying Ambiguities: on the Role of Ambiguity Types in Prompting Methods for Clarification Generation—0
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent—0
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
Exploring The Landscape of Distributional Robustness for Question Answering Models—0
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks—0
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents—0
A Theory of Emergent In-Context Learning as Implicit Structure Induction—0
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
How Well Can Transformers Emulate In-context Newton's Method?—0
A Theoretical Understanding of Self-Correction through In-context Alignment—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
Exploring Task-Level Optimal Prompts for Visual In-Context Learning—0
Benchmarks Underestimate the Readiness of Multi-lingual Dialogue Agents—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
In-context learning enables multimodal large language models to classify cancer pathology images—0
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations—0
Human-Timescale Adaptation in an Open-Ended Task Space—0
Hybrid Agents for Image Restoration—0
In-Context Learning Enables Robot Action Prediction in LLMs—0
C-ICL: Contrastive In-context Learning for Information Extraction—0
Exploring Length Generalization in Large Language Models—0
Exploring Large Language Models for Product Attribute Value Identification—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration—0
Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
ICLERB: In-Context Learning Embedding and Reranker Benchmark—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
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