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Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA

Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA

22 May 2025
Rishabh Maheshwary
Masoud Hashemi
Khyati Mahajan
Shiva Krishna Reddy Malay
Sai Rajeswar
Sathwik Tejaswi Madhusudhan
Spandana Gella
Vikas Yadav
    RALM
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Papers citing "Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA"

12 / 12 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
194
387
0
20 Feb 2025
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna
Kalpesh Krishna
Anhad Mohananey
Steven Schwarcz
Adam Stambler
Shyam Upadhyay
Manaal Faruqui
ReLM
3DV
LRM
RALM
63
26
0
28 Jan 2025
Infogent: An Agent-Based Framework for Web Information Aggregation
Infogent: An Agent-Based Framework for Web Information Aggregation
R. Reddy
Sagnik Mukherjee
Jeonghwan Kim
Zhenhailong Wang
Dilek Z. Hakkani-Tür
Heng Ji
59
9
0
24 Oct 2024
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach
Zhouyu Jiang
Mengshu Sun
Lei Liang
Qing Cui
RALM
99
13
0
18 Jul 2024
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Ziyan Jiang
Xueguang Ma
Wenhu Chen
RALM
83
57
0
21 Jun 2024
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
Jinhyuk Lee
Anthony Chen
Zhuyun Dai
Dheeru Dua
Devendra Singh Sachan
...
Jeremy R. Cole
Sebastian Riedel
Iftekhar Naim
Ming-Wei Chang
Kelvin Guu
RALM
LRM
75
35
0
19 Jun 2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA
  of LLMs
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Jaehyung Kim
Jaehyun Nam
Sangwoo Mo
Jongjin Park
Sang-Woo Lee
Minjoon Seo
Jung-Woo Ha
Jinwoo Shin
AIFin
RALM
ELM
68
41
0
17 Apr 2024
FreshLLMs: Refreshing Large Language Models with Search Engine
  Augmentation
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Tu Vu
Mohit Iyyer
Xuezhi Wang
Noah Constant
Jerry W. Wei
...
Chris Tar
Yun-hsuan Sung
Denny Zhou
Quoc Le
Thang Luong
KELM
HILM
LRM
82
204
0
05 Oct 2023
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang
Nan Yang
Xiaolong Huang
Binxing Jiao
Linjun Yang
Daxin Jiang
Rangan Majumder
Furu Wei
VLM
181
576
0
07 Dec 2022
Improving language models by retrieving from trillions of tokens
Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud
A. Mensch
Jordan Hoffmann
Trevor Cai
Eliza Rutherford
...
Simon Osindero
Karen Simonyan
Jack W. Rae
Erich Elsen
Laurent Sifre
KELM
RALM
178
1,069
0
08 Dec 2021
Time-Aware Language Models as Temporal Knowledge Bases
Time-Aware Language Models as Temporal Knowledge Bases
Bhuwan Dhingra
Jeremy R. Cole
Julian Martin Eisenschlos
D. Gillick
Jacob Eisenstein
William W. Cohen
KELM
64
271
0
29 Jun 2021
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
93
2,050
0
10 Feb 2020
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