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In-Context Learning

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Showing 1051–1100 of 2297 papers

TitleStatusHype
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property PredictionCode1
Exploring and Benchmarking the Planning Capabilities of Large Language Models—0
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models—0
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?Code1
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems—0
In-Context Learning of Energy Functions—0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion—0
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
Multi-Layer Ranking with Large Language Models for News Source Recommendation—0
Fine-grained Controllable Text Generation through In-context Learning with Feedback—0
Soft Prompting for Unlearning in Large Language ModelsCode1
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic InferencesCode0
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study—0
DocCGen: Document-based Controlled Code Generation—0
Meta Reasoning for Large Language Models—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
Probing the Decision Boundaries of In-context Learning in Large Language ModelsCode1
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation—0
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context LearningCode0
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional InformationCode0
Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions—0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and GenerationCode2
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation—0
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning—0
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction—0
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art UnderstandingCode0
Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI—0
Automated Molecular Concept Generation and Labeling with Large Language ModelsCode0
Chain-of-Though (CoT) prompting strategies for medical error detection and correction—0
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus—0
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement LearningCode0
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning—0
An Empirical Study of Mamba-based Language Models—0
Guiding In-Context Learning of LLMs through Quality Estimation for Machine TranslationCode0
State Soup: In-Context Skill Learning, Retrieval and Mixing—0
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with TextCode3
Are Large Language Models Good Statisticians?Code1
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning—0
On the Robustness of Document-Level Relation Extraction Models to Entity Name VariationsCode0
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge GraphsCode0
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems—0
Estimating the Hallucination Rate of Generative AI—0
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning—0
CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI OnlyCode0
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing—0
In-Context Learning and Fine-Tuning GPT for Argument MiningCode0
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