Copertina

NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Yufeng, Sakai, Yoshihiro, Inoue, Naoya
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Revisiting In-context Learning Inference Circuit in Large Language Models
di: Cho, Hakaze, et al.
Pubblicazione: (2024)

Token-based Decision Criteria Are Suboptimal in In-context Learning
di: Cho, Hakaze, et al.
Pubblicazione: (2024)

Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations
di: Kato, Mariko, et al.
Pubblicazione: (2025)

StaICC: Standardized Evaluation for Classification Task in In-context Learning
di: Cho, Hakaze, et al.
Pubblicazione: (2025)

Vector-ICL: In-context Learning with Continuous Vector Representations
di: Zhuang, Yufan, et al.
Pubblicazione: (2024)

Understanding Token Probability Encoding in Output Embeddings
di: Cho, Hakaze, et al.
Pubblicazione: (2024)

Mechanism of Task-oriented Information Removal in In-context Learning
di: Cho, Hakaze, et al.
Pubblicazione: (2025)

Mechanistic Fine-tuning for In-context Learning
di: Cho, Hakaze, et al.
Pubblicazione: (2025)

A Study on the Calibration of In-context Learning
di: Zhang, Hanlin, et al.
Pubblicazione: (2023)

The Transfer Neurons Hypothesis: An Underlying Mechanism for Language Latent Space Transitions in Multilingual LLMs
di: Tezuka, Hinata, et al.
Pubblicazione: (2025)

Refract ICL: Rethinking Example Selection in the Era of Million-Token Models
di: Akula, Arjun R., et al.
Pubblicazione: (2025)

Goose: Anisotropic Speculation Trees for Training-Free Speculative Decoding
di: Jin, Tao, et al.
Pubblicazione: (2026)

Auto-ICL: In-Context Learning without Human Supervision
di: Yang, Jinghan, et al.
Pubblicazione: (2023)

Non-Interactive Symbolic-Aided Chain-of-Thought for Logical Reasoning
di: Nguyen, Phuong Minh, et al.
Pubblicazione: (2025)

Revealing Algorithmic Deductive Circuits for Logical Reasoning
di: Nguyen, Phuong Minh, et al.
Pubblicazione: (2026)

RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
di: Scarlatos, Alexander, et al.
Pubblicazione: (2023)

On Effects of Steering Latent Representation for Large Language Model Unlearning
di: Huu-Tien, Dang, et al.
Pubblicazione: (2024)

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
di: Xu, Zhi, et al.
Pubblicazione: (2026)

Enhancing In-context Learning via Linear Probe Calibration
di: Abbas, Momin, et al.
Pubblicazione: (2024)

How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
di: Meng, Yan, et al.
Pubblicazione: (2024)

Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
di: Sorensen, Taylor, et al.
Pubblicazione: (2025)

Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond ICL and CoT
di: Mamidala, Rushitha Santhoshi, et al.
Pubblicazione: (2025)

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
di: Xu, Xiaoyue, et al.
Pubblicazione: (2024)

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
di: Ye, Liqin, et al.
Pubblicazione: (2025)

Credence Calibration Game? Calibrating Large Language Models through Structured Play
di: Fang, Ke, et al.
Pubblicazione: (2025)

CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations
di: Kothapalli, Vignesh, et al.
Pubblicazione: (2025)

Document-Level Event Extraction with Definition-Driven ICL
di: Liu, Zhuoyuan, et al.
Pubblicazione: (2024)

Binary Autoencoder for Mechanistic Interpretability of Large Language Models
di: Cho, Hakaze, et al.
Pubblicazione: (2025)

A Survey on In-context Learning
di: Dong, Qingxiu, et al.
Pubblicazione: (2022)

InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation
di: Cao, Bowen, et al.
Pubblicazione: (2025)

Long-context LLMs Struggle with Long In-context Learning
di: Li, Tianle, et al.
Pubblicazione: (2024)

Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
di: Kim, Suyoung, et al.
Pubblicazione: (2024)

IA2: Alignment with ICL Activations Improves Supervised Fine-Tuning
di: Mishra, Aayush, et al.
Pubblicazione: (2025)

Probing the Decision Boundaries of In-context Learning in Large Language Models
di: Zhao, Siyan, et al.
Pubblicazione: (2024)

Rethinking Invariance in In-context Learning
di: Fang, Lizhe, et al.
Pubblicazione: (2025)

PHOTON: Hierarchical Autoregressive Modeling for Lightspeed and Memory-Efficient Language Generation
di: Ichikawa, Yuma, et al.
Pubblicazione: (2025)

Concept-aware Data Construction Improves In-context Learning of Language Models
di: Štefánik, Michal, et al.
Pubblicazione: (2024)

Arabic Sentiment Analysis with Noisy Deep Explainable Model
di: Atabuzzaman, Md., et al.
Pubblicazione: (2023)

Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning
di: Xue, Jieying, et al.
Pubblicazione: (2026)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
di: Zhao, Shuai, et al.
Pubblicazione: (2024)