Copertina

A Survey to Recent Progress Towards Understanding In-Context Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mao, Haitao, Liu, Guangliang, Ma, Yao, Wang, Rongrong, Johnson, Kristen, Tang, Jiliang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
di: Liu, Guangliang, et al.
Pubblicazione: (2024)

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
di: Liu, Guangliang, et al.
Pubblicazione: (2024)

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
di: Liu, Guangliang, et al.
Pubblicazione: (2024)

On the Convergence of Moral Self-Correction in Large Language Models
di: Liu, Guangliang, et al.
Pubblicazione: (2025)

Learning to Diagnose and Correct Errors: Towards Moral Sensitivity Acquisition in Large Language Models
di: Chen, Bocheng, et al.
Pubblicazione: (2026)

Smaller Large Language Models Can Do Moral Self-Correction
di: Liu, Guangliang, et al.
Pubblicazione: (2024)

Discourse Heuristics For Paradoxically Moral Self-Correction
di: Liu, Guangliang, et al.
Pubblicazione: (2025)

Pragmatic Inference for Moral Reasoning Acquisition: Generalization via Metapragmatic Links
di: Liu, Guangliang, et al.
Pubblicazione: (2025)

Diagnosing the Performance Trade-off in Moral Alignment: A Case Study on Gender Stereotypes
di: Liu, Guangliang, et al.
Pubblicazione: (2025)

Self-correction is Not An Innate Capability in Language Models
di: Liu, Guangliang, et al.
Pubblicazione: (2024)

Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
di: Liu, Guangliang, et al.
Pubblicazione: (2025)

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
di: Lin, Yuping, et al.
Pubblicazione: (2024)

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
di: Liu, Shang, et al.
Pubblicazione: (2024)

A Survey of Context Engineering for Large Language Models
di: Mei, Lingrui, et al.
Pubblicazione: (2025)

Context-Aware Counterfactual Data Augmentation for Gender Bias Mitigation in Language Models
di: Parihar, Shweta, et al.
Pubblicazione: (2026)

Towards an Understanding of Context Utilization in Code Intelligence
di: Wang, Yanlin, et al.
Pubblicazione: (2025)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
di: Liu, Fuxiao, et al.
Pubblicazione: (2023)

Towards Generalizable Implicit In-Context Learning with Attention Routing
di: Li, Jiaqian, et al.
Pubblicazione: (2025)

UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
di: Deng, Chenlong, et al.
Pubblicazione: (2025)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
di: Chen, Zhikai, et al.
Pubblicazione: (2023)

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
di: Hu, Yi, et al.
Pubblicazione: (2026)

Recent Advances of Foundation Language Models-based Continual Learning: A Survey
di: Yang, Yutao, et al.
Pubblicazione: (2024)

Large Language Models for Education: A Survey and Outlook
di: Wang, Shen, et al.
Pubblicazione: (2024)

Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges
di: Wu, Xiaofeng, et al.
Pubblicazione: (2025)

Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment
di: Liu, Zhenyu, et al.
Pubblicazione: (2025)

Towards Context-Invariant Safety Alignment for Large Language Models
di: Wang, Yixu, et al.
Pubblicazione: (2026)

Understanding In-Context Learning from Repetitions
di: Yan, Jianhao, et al.
Pubblicazione: (2023)

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
di: Bai, Yushi, et al.
Pubblicazione: (2023)

Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark
di: Wang, Yao, et al.
Pubblicazione: (2026)

Shortcut Learning in In-Context Learning: A Survey
di: Song, Rui, et al.
Pubblicazione: (2024)

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
di: Cui, Yingqian, et al.
Pubblicazione: (2024)

Toward Honest Language Models for Deductive Reasoning
di: Liu, Jiarui, et al.
Pubblicazione: (2025)

Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
di: Gong, Zixuan, et al.
Pubblicazione: (2025)

Large Language Models for Subjective Language Understanding: A Survey
di: Song, Changhao, et al.
Pubblicazione: (2025)

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
di: Gao, Sensen, et al.
Pubblicazione: (2025)

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations
di: Lei, Yiming, et al.
Pubblicazione: (2025)

A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
di: Huang, Kaiyu, et al.
Pubblicazione: (2024)

Optimizing In-Context Demonstrations for LLM-based Automated Grading
di: Chu, Yucheng, et al.
Pubblicazione: (2026)

Feature-Adaptive and Data-Scalable In-Context Learning
di: Li, Jiahao, et al.
Pubblicazione: (2024)

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding
di: Deng, Jingyang, et al.
Pubblicazione: (2024)