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KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing

26 May 2025
Rui Li
Quanyu Dai
Zeyu Zhang
X. Chen
Zhenhua Dong
Ji-Rong Wen
    RALM
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Papers citing "KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing"

24 / 24 papers shown
Title
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge
Ha Trinh
Newman Cheng
Joshua Bradley
Alex Chao
Apurva Mody
Steven Truitt
Dasha Metropolitansky
Robert Osazuwa Ness
Jonathan Larson
RALM
190
387
0
20 Feb 2025
Graph Retrieval-Augmented Generation: A Survey
Graph Retrieval-Augmented Generation: A Survey
Boci Peng
Yun Zhu
Yongchao Liu
Xiaohe Bo
Haizhou Shi
Chuntao Hong
Yan Zhang
Siliang Tang
3DV
82
86
0
15 Aug 2024
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented
  Generation for Efficient Information Extraction
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Bhaskarjit Sarmah
Benika Hall
Rohan Rao
Sunil Patel
Stefano Pasquali
Dhagash Mehta
66
44
0
09 Aug 2024
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning
  Inner Monologues
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
Diji Yang
Jinmeng Rao
Kezhen Chen
Xiaoyuan Guo
Yawen Zhang
Jie Yang
Yi Zhang
LRM
RALM
88
15
0
15 May 2024
V-STaR: Training Verifiers for Self-Taught Reasoners
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini
Xingdi Yuan
Nikolay Malkin
Rameswar Panda
Alessandro Sordoni
Rishabh Agarwal
ReLM
LRM
66
119
0
09 Feb 2024
Retrieval-Augmented Generation for Large Language Models: A Survey
Retrieval-Augmented Generation for Large Language Models: A Survey
Yunfan Gao
Yun Xiong
Xinyu Gao
Kangxiang Jia
Jinliu Pan
Yuxi Bi
Yi Dai
Jiawei Sun
Meng Wang
Haofen Wang
3DV
RALM
96
1,701
1
18 Dec 2023
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of
  Knowledge for Improved Language Model Reasoning
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
Xin Su
Tiep Le
Steven Bethard
Phillip Howard
LRM
KELM
52
7
0
14 Nov 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative
  Retrieval-Generation Synergy
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Zhihong Shao
Yeyun Gong
Yelong Shen
Minlie Huang
Nan Duan
Weizhu Chen
RALM
LRM
KELM
50
242
0
24 May 2023
Answering Questions by Meta-Reasoning over Multiple Chains of Thought
Answering Questions by Meta-Reasoning over Multiple Chains of Thought
Ori Yoran
Tomer Wolfson
Ben Bogin
Uri Katz
Daniel Deutch
Jonathan Berant
ReLM
LRM
KELM
28
99
0
25 Apr 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large Language Models Can Be Easily Distracted by Irrelevant Context
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLM
RALM
LRM
78
564
0
31 Jan 2023
When Not to Trust Language Models: Investigating Effectiveness of
  Parametric and Non-Parametric Memories
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Alex Troy Mallen
Akari Asai
Victor Zhong
Rajarshi Das
Daniel Khashabi
Hannaneh Hajishirzi
RALM
HILM
KELM
96
567
0
20 Dec 2022
Interleaving Retrieval with Chain-of-Thought Reasoning for
  Knowledge-Intensive Multi-Step Questions
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
H. Trivedi
Niranjan Balasubramanian
Tushar Khot
Ashish Sabharwal
KELM
RALM
LRM
73
441
0
20 Dec 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLM
KELM
LRM
113
595
0
07 Oct 2022
Interpretable AMR-Based Question Decomposition for Multi-hop Question
  Answering
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Zhenyun Deng
Yonghua Zhu
Yang Chen
Michael Witbrock
Patricia J. Riddle
49
23
0
16 Jun 2022
Internet-augmented language models through few-shot prompting for
  open-domain question answering
Internet-augmented language models through few-shot prompting for open-domain question answering
Angeliki Lazaridou
E. Gribovskaya
Wojciech Stokowiec
N. Grigorev
KELM
LRM
30
134
0
10 Mar 2022
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard
Mathilde Caron
Lucas Hosseini
Sebastian Riedel
Piotr Bojanowski
Armand Joulin
Edouard Grave
RALM
127
864
0
16 Dec 2021
MuSiQue: Multihop Questions via Single-hop Question Composition
MuSiQue: Multihop Questions via Single-hop Question Composition
H. Trivedi
Niranjan Balasubramanian
Tushar Khot
Ashish Sabharwal
LRM
60
246
0
02 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
357
1,013
0
17 Apr 2021
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
  Reasoning Steps
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
RALM
LRM
49
425
0
02 Nov 2020
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Peng Qi
Haejun Lee
OghenetegiriTGSido
Christopher D. Manning
KELM
RALM
LRM
199
57
0
23 Oct 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
529
41,106
0
28 May 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
145
3,676
0
10 Apr 2020
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood Training
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Kyunghyun Cho
Jason Weston
MU
37
570
0
12 Aug 2019
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
124
2,577
0
25 Sep 2018
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