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Enhancing Contextual Understanding in Large Language Models through
  Contrastive Decoding

Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding

4 May 2024
Zheng Zhao
Emilio Monti
Jens Lehmann
H. Assem
ArXivPDFHTML

Papers citing "Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding"

20 / 20 papers shown
Title
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Reimagining Urban Science: Scaling Causal Inference with Large Language Models
Yutong Xia
Ao Qu
Yunhan Zheng
Yihong Tang
Dingyi Zhuang
...
Cathy Wu
Roger Zimmermann
Lijun Sun
Roger Zimmermann
Jinhua Zhao
AI4CE
295
1
0
15 Apr 2025
Learning on LLM Output Signatures for gray-box Behavior Analysis
Learning on LLM Output Signatures for gray-box Behavior Analysis
Guy Bar-Shalom
Fabrizio Frasca
Derek Lim
Yoav Gelberg
Yftah Ziser
Ran El-Yaniv
Gal Chechik
Haggai Maron
103
0
0
18 Mar 2025
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
Jiaqi Wang
Yifei Gao
Jitao Sang
MLLM
152
2
0
24 Nov 2024
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
Han Wang
Archiki Prasad
Elias Stengel-Eskin
Joey Tianyi Zhou
113
8
0
11 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Cheng Wang
Yiwei Wang
Bryan Hooi
Yujun Cai
Nanyun Peng
Kai-Wei Chang
78
4
0
05 Sep 2024
REPLUG: Retrieval-Augmented Black-Box Language Models
REPLUG: Retrieval-Augmented Black-Box Language Models
Weijia Shi
Sewon Min
Michihiro Yasunaga
Minjoon Seo
Rich James
M. Lewis
Luke Zettlemoyer
Wen-tau Yih
RALM
VLM
KELM
118
631
0
30 Jan 2023
Large Language Models Struggle to Learn Long-Tail Knowledge
Large Language Models Struggle to Learn Long-Tail Knowledge
Nikhil Kandpal
H. Deng
Adam Roberts
Eric Wallace
Colin Raffel
RALM
KELM
112
414
0
15 Nov 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
89
357
0
27 Oct 2022
RealTime QA: What's the Answer Right Now?
RealTime QA: What's the Answer Right Now?
Jungo Kasai
Keisuke Sakaguchi
Yoichi Takahashi
Ronan Le Bras
Akari Asai
Xinyan Velocity Yu
Dragomir R. Radev
Noah A. Smith
Yejin Choi
Kentaro Inui
KELM
111
192
0
27 Jul 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
279
131
0
25 May 2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating
  Ever-Evolving Language Models
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang
Seonghyeon Ye
Changho Lee
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Minjoon Seo
CLL
KELM
71
97
0
29 Apr 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
152
892
0
16 Dec 2021
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Time Waits for No One! Analysis and Challenges of Temporal Misalignment
Kelvin Luu
Daniel Khashabi
Suchin Gururangan
Karishma Mandyam
Noah A. Smith
69
88
0
14 Nov 2021
Entity-Based Knowledge Conflicts in Question Answering
Entity-Based Knowledge Conflicts in Question Answering
Shayne Longpre
Kartik Perisetla
Anthony Chen
Nikhil Ramesh
Chris DuBois
Sameer Singh
HILM
320
257
0
10 Sep 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
MU
98
371
0
07 May 2021
Retrieval Augmentation Reduces Hallucination in Conversation
Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster
Spencer Poff
Moya Chen
Douwe Kiela
Jason Weston
HILM
86
730
0
15 Apr 2021
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
104
888
0
10 Feb 2020
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
103
2,090
0
10 Feb 2020
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
195
2,636
0
09 May 2017
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
...
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
RALM
135
2,721
0
28 Nov 2016
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