ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.05313
  4. Cited By
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in
  Long-Horizon Generation

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation

8 March 2024
Zihao Wang
Anji Liu
Haowei Lin
Jiaqi Li
Xiaojian Ma
Yitao Liang
    ReLM
    RALM
    LRM
ArXivPDFHTML

Papers citing "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation"

39 / 39 papers shown
Title
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
Honglin Lin
Zhuoshi Pan
Yu-Hu Li
Qizhi Pei
Xin Gao
Mengzhang Cai
Conghui He
Lijun Wu
OffRL
LRM
60
0
0
19 Mar 2025
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes
Da Wu
Zhanliang Wang
Quan Nguyen
Kai Wang
163
1
0
15 Mar 2025
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
Mingyue Cheng
Yucong Luo
Jie Ouyang
Qiang Liu
Huijie Liu
...
Bohou Zhang
Jiawei Cao
Jie Ma
Daoyu Wang
Enhong Chen
3DV
73
3
0
11 Mar 2025
RAG-Adapter: A Plug-and-Play RAG-enhanced Framework for Long Video Understanding
Xichen Tan
Yunfan Ye
Yuanjing Luo
Qian Wan
Fang Liu
Zhiping Cai
VLM
69
1
0
11 Mar 2025
Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
Wenjie Wu
Yongcheng Jing
Yingjie Wang
Wenbin Hu
Dacheng Tao
RALM
LRM
66
2
0
03 Mar 2025
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
Chang Zong
Jian Wan
Siliang Tang
Lei Zhang
86
0
0
17 Feb 2025
Prompt-based Depth Pruning of Large Language Models
Prompt-based Depth Pruning of Large Language Models
Juyun Wee
Minjae Park
Jaeho Lee
VLM
93
0
0
17 Feb 2025
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
Zongxi Li
Y. Li
Haoran Xie
S. J. Qin
70
0
0
03 Feb 2025
Rationale-Guided Retrieval Augmented Generation for Medical Question
  Answering
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
Jiwoong Sohn
Yein Park
Chanwoong Yoon
Sihyeon Park
Hyeon Hwang
Mujeen Sung
Hyunjae Kim
Jaewoo Kang
RALM
67
6
0
01 Nov 2024
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large
  Language Models
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
Junda Wu
Xintong Li
Ruoyu Wang
Yu Xia
Yuxin Xiong
...
Xiang Chen
B. Kveton
Lina Yao
Jingbo Shang
Julian McAuley
OffRL
LRM
29
0
0
31 Oct 2024
Self-Explained Keywords Empower Large Language Models for Code
  Generation
Self-Explained Keywords Empower Large Language Models for Code Generation
Lishui Fan
Mouxiang Chen
Zhongxin Liu
40
1
0
21 Oct 2024
Expanding Search Space with Diverse Prompting Agents: An Efficient
  Sampling Approach for LLM Mathematical Reasoning
Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
Gisang Lee
Sangwoo Park
Junyoung Park
Andrew Chung
Sieun Park
Yoonah Park
Byungju Kim
Min-gyu Cho
LRM
27
1
0
13 Oct 2024
Mars: Situated Inductive Reasoning in an Open-World Environment
Mars: Situated Inductive Reasoning in an Open-World Environment
Xiaojuan Tang
Jiaqi Li
Yitao Liang
Song-chun Zhu
Muhan Zhang
Zilong Zheng
LM&Ro
LRM
LLMAG
29
1
0
10 Oct 2024
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey
  on How to Make your LLMs use External Data More Wisely
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao
Yuqing Yang
Zilong Wang
Zhiyuan He
Luna Qiu
Lili Qiu
SyDa
RALM
3DV
44
35
0
23 Sep 2024
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the
  Role of RAG Noise in Large Language Models
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models
Jinyang Wu
Feihu Che
Chuyuan Zhang
Jianhua Tao
Shuai Zhang
Pengpeng Shao
35
2
0
24 Aug 2024
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
Aishik Nagar
Viktor Schlegel
Thanh-Tung Nguyen
Hao Li
Yuping Wu
Kuluhan Binici
Stefan Winkler
LRM
35
3
0
22 Aug 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
80
32
0
11 Jul 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables
  Open-World Instruction Following Agents
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
Zihao Wang
Shaofei Cai
Zhancun Mu
Haowei Lin
Ceyao Zhang
Xuejie Liu
Qing Li
Anji Liu
Xiaojian Ma
Yitao Liang
LM&Ro
46
12
0
27 Jun 2024
Understand What LLM Needs: Dual Preference Alignment for
  Retrieval-Augmented Generation
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Guanting Dong
Yutao Zhu
Chenghao Zhang
Zechen Wang
Zhicheng Dou
Ji-Rong Wen
RALM
44
10
0
26 Jun 2024
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei
Wei-Lin Chen
Yu Meng
RALM
69
14
0
19 Jun 2024
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Zhonghao Li
Xuming Hu
Aiwei Liu
Kening Zheng
S. Huang
Hui Xiong
RALM
115
8
0
17 Jun 2024
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang
Xiting Wang
Weijieying Ren
Lu Jiang
Dongjie Wang
Kunpeng Liu
LRM
36
8
0
04 Jun 2024
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control
Huanshuo Liu
Hao Zhang
Zhijiang Guo
Kuicai Dong
Xiangyang Li
Yi Quan Lee
Cong Zhang
Yong-jin Liu
3DV
41
1
0
29 May 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust
  Retrieval-Augmented Generator
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Junda Zhu
Lingyong Yan
Haibo Shi
Dawei Yin
Lei Sha
RALM
31
5
0
28 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
82
42
0
23 May 2024
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
Matthew Renze
Erhan Guven
LRM
LLMAG
44
37
0
05 May 2024
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Yu Xia
Rui Wang
Xu Liu
Mingyan Li
Tong Yu
Xiang Chen
Julian McAuley
Shuai Li
LRM
50
18
0
24 Apr 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Bin Cui
3DV
115
228
0
29 Feb 2024
Chain-of-Thought Reasoning Without Prompting
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
149
101
0
15 Feb 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
Haowei Lin
Baizhou Huang
Haotian Ye
Qinyu Chen
Zihao Wang
Sujian Li
Jianzhu Ma
Xiaojun Wan
James Zou
Yitao Liang
87
20
0
04 Feb 2024
Corrective Retrieval Augmented Generation
Corrective Retrieval Augmented Generation
Shi-Qi Yan
Jia-Chen Gu
Yun Zhu
Zhen-Hua Ling
RALM
137
72
0
29 Jan 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through
  Self-Reflection
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai
Zeqiu Wu
Yizhong Wang
Avirup Sil
Hannaneh Hajishirzi
RALM
165
631
0
17 Oct 2023
Chain-of-Knowledge: Grounding Large Language Models via Dynamic
  Knowledge Adapting over Heterogeneous Sources
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Xingxuan Li
Ruochen Zhao
Yew Ken Chia
Bosheng Ding
Shafiq R. Joty
Soujanya Poria
Lidong Bing
HILM
BDL
LRM
84
87
0
22 May 2023
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu
Chun Xia
Yuyao Wang
Lingming Zhang
ELM
ALM
186
799
0
02 May 2023
Continual Training of Language Models for Few-Shot Learning
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke
Haowei Lin
Yijia Shao
Hu Xu
Lei Shu
Bin Liu
KELM
BDL
CLL
90
34
0
11 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,106
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
316
11,953
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
379
8,495
0
28 Jan 2022
1