:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yuetong, Cao, Hongyu, Zhao, Xianyu, Ou, Zhijian
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2407.15569
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
by: Cao, Hongyu, et al.
Published: (2025)

Advancing LLM-based phoneme-to-grapheme for multilingual speech recognition
by: Dong, Lukuang, et al.
Published: (2026)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
by: Wu, Mingyan, et al.
Published: (2025)

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
by: Cai, Yucheng, et al.
Published: (2024)

Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression
by: Zeng, Lingjie, et al.
Published: (2026)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
by: Nguyen, Thang, et al.
Published: (2025)

Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study
by: Mu, Yongyu, et al.
Published: (2025)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
by: Li, Zirui, et al.
Published: (2026)

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
by: Yao, Yao, et al.
Published: (2023)

RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
by: Zeng, Yixiao, et al.
Published: (2025)

Energy-Based Models with Applications to Speech and Language Processing
by: Ou, Zhijian
Published: (2024)

Entriever: Energy-based Retriever for Knowledge-Grounded Dialog Systems
by: Cai, Yucheng, et al.
Published: (2025)

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation
by: Jiao, YiHan, et al.
Published: (2025)

Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes
by: Wang, Zhanliang, et al.
Published: (2025)

Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
by: Cai, Yucheng, et al.
Published: (2025)

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
by: Yan, Yibo, et al.
Published: (2026)

ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
by: Cheng, Xiaoxue, et al.
Published: (2024)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
by: Hu, Yunhai, et al.
Published: (2025)

RAR$^2$: Retrieval-Augmented Medical Reasoning via Thought-Driven Retrieval
by: Xu, Kaishuai, et al.
Published: (2025)

Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting
by: Cao, Jinghan, et al.
Published: (2026)

Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart
by: Chen, Kang, et al.
Published: (2026)

Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
by: Li, Jiachun, et al.
Published: (2024)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
by: Yuan, Xujie, et al.
Published: (2025)

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
by: He, Bolei, et al.
Published: (2024)

Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
by: Wu, Yexin, et al.
Published: (2024)

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
by: Yu, Shuo, et al.
Published: (2024)

Chain-of-Thought Augmentation with Logit Contrast for Enhanced Reasoning in Language Models
by: Shim, Jay, et al.
Published: (2024)

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
by: Shum, KaShun, et al.
Published: (2023)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
by: Yang, Ling, et al.
Published: (2024)

Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
by: Cao, Jie, et al.
Published: (2026)

Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
by: Cheng, Jiahao, et al.
Published: (2025)

KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
by: Mondal, Debjyoti, et al.
Published: (2024)

Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations
by: Zheng, Kaiyuan, et al.
Published: (2025)

Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
by: Zhao, Zhengyi, et al.
Published: (2026)

Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning
by: Parvez, Md Rizwan
Published: (2024)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
by: Bal, Devi Prasad, et al.
Published: (2026)