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IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization

IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization

8 January 2025
Jie Cao
Dian Jiao
Qiang Yan
Wenqiao Zhang
Siliang Tang
Yueting Zhuang
ArXivPDFHTML

Papers citing "IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization"

5 / 5 papers shown
Title
Just What You Desire: Constrained Timeline Summarization with
  Self-Reflection for Enhanced Relevance
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Muhammad Reza Qorib
Qisheng Hu
Hwee Tou Ng
29
0
0
23 Dec 2024
Leave No Context Behind: Efficient Infinite Context Transformers with
  Infini-attention
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Tsendsuren Munkhdalai
Manaal Faruqui
Siddharth Gopal
LRM
LLMAG
CLL
91
103
0
10 Apr 2024
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Amanda Bertsch
Uri Alon
Graham Neubig
Matthew R. Gormley
RALM
102
122
0
02 May 2023
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
339
12,003
0
04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
1