:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Gabouj, Oussama, Charaf, Kamel, Zakazov, Ivan, Baldwin, Nicolas, West, Robert
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	https://arxiv.org/abs/2510.01165
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor
di: Zakazov, Ivan, et al.
Pubblicazione: (2025)

TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards
di: Nica, Andreea, et al.
Pubblicazione: (2025)

Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
di: Zakazov, Ivan, et al.
Pubblicazione: (2024)

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
di: Wei, Zeming, et al.
Pubblicazione: (2023)

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
di: Zekri, Oussama, et al.
Pubblicazione: (2025)

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations
di: Verma, Gaurav, et al.
Pubblicazione: (2024)

Generalized Discrete Diffusion from Snapshots
di: Zekri, Oussama, et al.
Pubblicazione: (2026)

Emergent Communication Pretraining for Few-Shot Machine Translation
di: Li, Yaoyiran, et al.
Pubblicazione: (2020)

Automatic Combination of Sample Selection Strategies for Few-Shot Learning
di: Pecher, Branislav, et al.
Pubblicazione: (2024)

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
di: Zheng, Xiaosen, et al.
Pubblicazione: (2024)

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
di: Kumar, Sachin
Pubblicazione: (2026)

Few-Shot Recalibration of Language Models
di: Li, Xiang Lisa, et al.
Pubblicazione: (2024)

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
di: Zhu, Alan, et al.
Pubblicazione: (2025)

Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
di: Zhang, Qingru, et al.
Pubblicazione: (2025)

Meta-Semantics Augmented Few-Shot Relational Learning
di: Wu, Han, et al.
Pubblicazione: (2025)

Manual Verbalizer Enrichment for Few-Shot Text Classification
di: Nguyen, Quang Anh, et al.
Pubblicazione: (2024)

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification
di: Liu, Ming
Pubblicazione: (2026)

RL for Reasoning by Adaptively Revealing Rationales
di: Amani, Mohammad Hossein, et al.
Pubblicazione: (2025)

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
di: Akyürek, Ekin, et al.
Pubblicazione: (2024)

Agent Instructs Large Language Models to be General Zero-Shot Reasoners
di: Crispino, Nicholas, et al.
Pubblicazione: (2023)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
di: Lin, Yujie, et al.
Pubblicazione: (2026)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
di: Zhao, Siyan, et al.
Pubblicazione: (2023)

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
di: Park, Junho, et al.
Pubblicazione: (2026)

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
di: Jiang, Ye, et al.
Pubblicazione: (2024)

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
di: Xu, Zhuoyan, et al.
Pubblicazione: (2024)

BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
di: Guo, Quanjiang, et al.
Pubblicazione: (2024)

GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation
di: Nguyen, Manh, et al.
Pubblicazione: (2025)

Large Language Models as Markov Chains
di: Zekri, Oussama, et al.
Pubblicazione: (2024)

Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
di: Yang, Jinrui, et al.
Pubblicazione: (2023)

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
di: Guo, Quanjiang, et al.
Pubblicazione: (2025)

MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification
di: Zeng, Xia, et al.
Pubblicazione: (2024)

TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
di: Dissanayake, Pasan, et al.
Pubblicazione: (2025)

Generative Retrieval with Few-shot Indexing
di: Askari, Arian, et al.
Pubblicazione: (2024)

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

A Logical Fallacy-Informed Framework for Argument Generation
di: Mouchel, Luca, et al.
Pubblicazione: (2024)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
di: Yan, Kai, et al.
Pubblicazione: (2026)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
di: Lu, Yen-Ju, et al.
Pubblicazione: (2025)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
di: Qiao, Qiao, et al.
Pubblicazione: (2023)

ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval
di: Yang, David H., et al.
Pubblicazione: (2026)

Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
di: Hamman, Faisal, et al.
Pubblicazione: (2025)