Copertina

A Generic Method for Fine-grained Category Discovery in Natural Language Texts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Chang, Blaschko, Matthew B., Yin, Wenpeng, Xing, Mingzhe, Yue, Yinliang, Moens, Marie-Francine
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning
di: Tian, Chang, et al.
Pubblicazione: (2025)

Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System
di: Tian, Chang, et al.
Pubblicazione: (2022)

Using Causality for Enhanced Prediction of Web Traffic Time Series
di: Tian, Chang, et al.
Pubblicazione: (2025)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
di: Tian, Chang, et al.
Pubblicazione: (2024)

Structured Information for Improving Spatial Relationships in Text-to-Image Generation
di: Schildermans, Sander, et al.
Pubblicazione: (2025)

Understanding Network Behaviors through Natural Language Question-Answering
di: Xing, Mingzhe, et al.
Pubblicazione: (2025)

Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
di: Jelaca, Aleksa, et al.
Pubblicazione: (2025)

Learning to Plan Long-Term for Language Modeling
di: Mai, Florian, et al.
Pubblicazione: (2024)

Learning to Plan for Language Modeling from Unlabeled Data
di: Cornille, Nathan, et al.
Pubblicazione: (2024)

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
di: Borchert, Philipp, et al.
Pubblicazione: (2025)

Reduction of Supervision for Biomedical Knowledge Discovery
di: Theodoropoulos, Christos, et al.
Pubblicazione: (2025)

Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
di: Allein, Liesbeth, et al.
Pubblicazione: (2025)

Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
di: Araujo, Vladimir, et al.
Pubblicazione: (2024)

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease
di: Theodoropoulos, Christos, et al.
Pubblicazione: (2024)

DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
di: Van Landeghem, Jordy, et al.
Pubblicazione: (2024)

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
di: Borchert, Philipp, et al.
Pubblicazione: (2024)

Sequence-to-Sequence Spanish Pre-trained Language Models
di: Araujo, Vladimir, et al.
Pubblicazione: (2023)

Computational Models to Study Language Processing in the Human Brain: A Survey
di: Wang, Shaonan, et al.
Pubblicazione: (2024)

ClimateCause: Complex and Implicit Causal Structures in Climate Reports
di: Allein, Liesbeth, et al.
Pubblicazione: (2026)

When normalization hallucinates: unseen risks in AI-powered whole slide image processing
di: Moens, Karel, et al.
Pubblicazione: (2025)

Generalized Category Discovery with Large Language Models in the Loop
di: An, Wenbin, et al.
Pubblicazione: (2023)

DMON: A Simple yet Effective Approach for Argument Structure Learning
di: Sun, Wei, et al.
Pubblicazione: (2024)

Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
di: Wang, Enguang, et al.
Pubblicazione: (2025)

LMUnit: Fine-grained Evaluation with Natural Language Unit Tests
di: Saad-Falcon, Jon, et al.
Pubblicazione: (2024)

SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
di: Rastegar, Sarah, et al.
Pubblicazione: (2024)

Natural Language Fine-Tuning
di: Liu, Jia, et al.
Pubblicazione: (2024)

Generalized Category Discovery in Federated Graph Learning
di: Yuan, Zhongzheng, et al.
Pubblicazione: (2026)

Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
di: Fathalizadeh, Alireza, et al.
Pubblicazione: (2025)

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
di: Xia, Yingce, et al.
Pubblicazione: (2025)

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment
di: Yu, Zhe, et al.
Pubblicazione: (2026)

CLASH: A Benchmark for Cross-Modal Contradiction Detection
di: Popordanoska, Teodora, et al.
Pubblicazione: (2025)

Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
di: Wang, Zifu, et al.
Pubblicazione: (2023)

Long-Tailed Learning for Generalized Category Discovery
di: Hoang, Cuong Manh
Pubblicazione: (2025)

VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
di: Hu, Wenbo, et al.
Pubblicazione: (2023)

From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs
di: Yu, Zhe, et al.
Pubblicazione: (2026)

Spectral Logit Sculpting: Adaptive Low-Rank Logit Transformation for Controlled Text Generation
di: Li, Jin, et al.
Pubblicazione: (2025)

Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
di: Li, Yibo, et al.
Pubblicazione: (2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
di: Ru, Dongyu, et al.
Pubblicazione: (2024)

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
di: Zhang, Shiyue, et al.
Pubblicazione: (2024)

NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence
di: Li, Zhicong, et al.
Pubblicazione: (2025)