Image de couverture de livre

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Zhang, Xiaoying
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
par: Zhang, Xiaoying, et autres
Publié: (2024)

TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
par: Yu, Haofei, et autres
Publié: (2025)

Grounded Visual Factualization: Factual Anchor-Based Finetuning for Enhancing MLLM Factual Consistency
par: Morbiato, Filippo, et autres
Publié: (2025)

Enhancing Factual Accuracy and Citation Generation in LLMs via Multi-Stage Self-Verification
par: García, Fernando Gabriela, et autres
Publié: (2025)

WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models
par: Khodja, Hichem Ammar, et autres
Publié: (2024)

KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication
par: Kumar, Sahil, et autres
Publié: (2024)

Self-Consistent Decoding for More Factual Open Responses
par: Malon, Christopher, et autres
Publié: (2024)

FAME: Towards Factual Multi-Task Model Editing
par: Zeng, Li, et autres
Publié: (2024)

Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization
par: Zhang, Siyuan, et autres
Publié: (2025)

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
par: Guan, Jian, et autres
Publié: (2024)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
par: Tu, Lifu, et autres
Publié: (2024)

Extensible Embedding: A Flexible Multipler For LLM's Context Length
par: Shao, Ninglu, et autres
Publié: (2024)

Fine-Grained Self-Endorsement Improves Factuality and Reasoning
par: Wang, Ante, et autres
Publié: (2024)

Extracting Training Dialogue Data from Large Language Model based Task Bots
par: Zhang, Shuo, et autres
Publié: (2026)

CLFEC: A New Task for Unified Linguistic and Factual Error Correction in paragraph-level Chinese Professional Writing
par: Kai, Jian, et autres
Publié: (2026)

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
par: Shao, Ninglu, et autres
Publié: (2024)

Learning to Reason for Factuality
par: Chen, Xilun, et autres
Publié: (2025)

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts
par: Liu, Xin, et autres
Publié: (2025)

The Curious Case of Factuality Finetuning: Models' Internal Beliefs Can Improve Factuality
par: Newman, Benjamin, et autres
Publié: (2025)

Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes
par: Jiao, Rui, et autres
Publié: (2025)

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy
par: Xu, Liyan, et autres
Publié: (2024)

Co-occurrence is not Factual Association in Language Models
par: Zhang, Xiao, et autres
Publié: (2024)

Factuality and Transparency Are All RAG Needs! Self-Explaining Contrastive Evidence Re-ranking
par: Vargas, Francielle, et autres
Publié: (2025)

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
par: Zhao, Sihang, et autres
Publié: (2024)

Logic Programming with Extensible Types
par: Perez, Ivan, et autres
Publié: (2026)

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
par: Qiu, Haoyi, et autres
Publié: (2023)

Integrative Decoding: Improve Factuality via Implicit Self-consistency
par: Cheng, Yi, et autres
Publié: (2024)

DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness
par: Bhatnagar, Rohan, et autres
Publié: (2026)

PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
par: Yu, Byeongho, et autres
Publié: (2025)

Geometric Factual Recall in Transformers
par: Ravfogel, Shauli, et autres
Publié: (2026)

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
par: Diao, Shizhe, et autres
Publié: (2023)

Multilingual Knowledge Editing with Language-Agnostic Factual Neurons
par: Zhang, Xue, et autres
Publié: (2024)

Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
par: Samarinas, Chris, et autres
Publié: (2025)

DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales
par: Wan, Herun, et autres
Publié: (2025)

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
par: Liu, Xin, et autres
Publié: (2024)

Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding
par: Soetedjo, Riza Setiawan, et autres
Publié: (2026)

Localizing Factual Inconsistencies in Attributable Text Generation
par: Cattan, Arie, et autres
Publié: (2024)

Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability
par: Kamuni, Navin, et autres
Publié: (2024)

Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization
par: Zhang, Yue, et autres
Publié: (2024)

Adaptable Logical Control for Large Language Models
par: Zhang, Honghua, et autres
Publié: (2024)