Image de couverture de livre

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	An, Kaikai, Yang, Fangkai, Li, Liqun, Lu, Junting, Cheng, Sitao, Si, Shuzheng, Wang, Lu, Zhao, Pu, Cao, Lele, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Chang, Baobao
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
par: Zhuang, Ziyuan, et autres
Publié: (2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
par: An, Kaikai, et autres
Publié: (2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
par: Fu, Jia, et autres
Publié: (2024)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
par: Lu, Junting, et autres
Publié: (2024)

Pretrain Value, Not Reward: Decoupled Value Policy Optimization
par: Huang, Chenghua, et autres
Publié: (2025)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
par: Wang, Qibin, et autres
Publié: (2025)

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
par: Feng, Huawen, et autres
Publié: (2024)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
par: Zhang, Jue, et autres
Publié: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
par: Ma, Ming, et autres
Publié: (2025)

RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
par: Peng, Zhiyuan, et autres
Publié: (2026)

Self-Evolved Reward Learning for LLMs
par: Huang, Chenghua, et autres
Publié: (2024)

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
par: He, Minghua, et autres
Publié: (2025)

API Agents vs. GUI Agents: Divergence and Convergence
par: Zhang, Chaoyun, et autres
Publié: (2025)

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
par: Hashemi, Helia, et autres
Publié: (2025)

AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
par: Zhu, Runchuan, et autres
Publié: (2025)

Beyond State Consistency: Behavior Consistency in Text-Based World Models
par: Huang, Youling, et autres
Publié: (2026)

VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
par: Zheng, Jiani, et autres
Publié: (2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback
par: Wang, Hanyang, et autres
Publié: (2025)

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
par: An, Kaikai, et autres
Publié: (2024)

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
par: Si, Shuzheng, et autres
Publié: (2023)

UltraIF: Advancing Instruction Following from the Wild
par: An, Kaikai, et autres
Publié: (2025)

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation
par: Zhao, Haozhe, et autres
Publié: (2024)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
par: Cheng, Sitao, et autres
Publié: (2024)

WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
par: Chen, Yue, et autres
Publié: (2025)

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
par: Zhang, Zhiyang, et autres
Publié: (2024)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
par: Wang, Lu, et autres
Publié: (2024)

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
par: Couturier, Camille, et autres
Publié: (2025)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
par: Sun, Lihao, et autres
Publié: (2026)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
par: Tan, Rongyuan, et autres
Publié: (2026)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
par: Liao, Mengqi, et autres
Publié: (2026)

Large Action Models: From Inception to Implementation
par: Wang, Lu, et autres
Publié: (2024)

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
par: Zhang, Zhiyang, et autres
Publié: (2024)

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
par: Shi, Zhuofan, et autres
Publié: (2026)

UFO3: Weaving the Digital Agent Galaxy
par: Zhang, Chaoyun, et autres
Publié: (2025)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
par: Ding, Ruomeng, et autres
Publié: (2023)

G-KV: Decoding-Time KV Cache Eviction with Global Attention
par: Liao, Mengqi, et autres
Publié: (2025)

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning
par: Wang, Lu, et autres
Publié: (2024)

Computer-Using World Model
par: Guan, Yiming, et autres
Publié: (2026)

Enabling Autonomic Microservice Management through Self-Learning Agents
par: Yu, Fenglin, et autres
Publié: (2025)

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
par: Tang, Yuanmin, et autres
Publié: (2024)