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A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

28 February 2024
Zihao Yi
Jiarui Ouyang
Yuwen Liu
Tianhao Liao
Zhe Xu
Ying Shen
    LLMAG
    LRM
ArXivPDFHTML

Papers citing "A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems"

23 / 23 papers shown
Title
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts
Qingyue Wang
Qi Pang
Xixun Lin
Shuai Wang
Daoyuan Wu
MoE
54
0
0
24 Apr 2025
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
Christopher Richardson
Roshan Sharma
Neeraj Gaur
Parisa Haghani
Anirudh S. Sundar
Bhuvana Ramabhadran
43
0
0
24 Feb 2025
Neural Attention Search
Neural Attention Search
Difan Deng
Marius Lindauer
80
0
0
21 Feb 2025
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective
Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective
Yuan Feng
Junlin Lv
Y. Cao
Xike Xie
S.Kevin Zhou
68
2
0
06 Feb 2025
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
Yuan Feng
Junlin Lv
Yukun Cao
Xike Xie
S. K. Zhou
VLM
47
27
0
28 Jan 2025
Teaching Models to Balance Resisting and Accepting Persuasion
Teaching Models to Balance Resisting and Accepting Persuasion
Elias Stengel-Eskin
Peter Hase
Mohit Bansal
MU
24
3
0
18 Oct 2024
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
Peiming Guo
Sinuo Liu
Yanzhao Zhang
Dingkun Long
Pengjun Xie
Meishan Zhang
M. Zhang
DiffM
35
1
0
16 Aug 2024
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
291
2,712
0
24 May 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
301
11,730
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
315
8,261
0
28 Jan 2022
Reason first, then respond: Modular Generation for Knowledge-infused
  Dialogue
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
Leonard Adolphs
Kurt Shuster
Jack Urbanek
Arthur Szlam
Jason Weston
KELM
LRM
190
41
0
09 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
228
780
0
14 Oct 2021
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
228
278
0
15 Jul 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
274
882
0
18 Apr 2021
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
275
3,784
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
Xueliang Zhao
Wei Yu Wu
Can Xu
Chongyang Tao
Dongyan Zhao
Rui Yan
164
181
0
17 Oct 2020
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich
  Semantic Annotations for Task-Oriented Dialogue Modeling
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling
Jun Quan
Shian Zhang
Qian Cao
Zi-pu Li
Deyi Xiong
30
51
0
17 Oct 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
224
1,281
0
18 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
203
430
0
25 Sep 2019
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