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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

20 December 2022
Alex Troy Mallen
Akari Asai
Victor Zhong
Rajarshi Das
Daniel Khashabi
Hannaneh Hajishirzi
    RALM
    HILM
    KELM
ArXivPDFHTML

Papers citing "When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories"

50 / 398 papers shown
Title
Unveiling Factual Recall Behaviors of Large Language Models through
  Knowledge Neurons
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
Yifei Wang
Yuheng Chen
Wanting Wen
Yu Sheng
Linjing Li
D. Zeng
KELM
41
5
0
06 Aug 2024
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented
  Generation
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
Daniel Fleischer
Moshe Berchansky
Moshe Wasserblat
Peter Izsak
3DV
55
4
0
05 Aug 2024
Caution for the Environment: Multimodal Agents are Susceptible to
  Environmental Distractions
Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions
Xinbei Ma
Yiting Wang
Yao Yao
Tongxin Yuan
Aston Zhang
Zhuosheng Zhang
Hai Zhao
AAML
LLMAG
32
17
0
05 Aug 2024
A Novel Metric for Measuring the Robustness of Large Language Models in
  Non-adversarial Scenarios
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
Samuel Ackerman
Ella Rabinovich
E. Farchi
Ateret Anaby-Tavor
28
1
0
04 Aug 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for
  Handling Noisy Contexts
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
Youna Kim
Hyuhng Joon Kim
Cheonbok Park
Choonghyun Park
Hyunsoo Cho
Junyeob Kim
Kang Min Yoo
Sang-goo Lee
Taeuk Kim
31
5
0
02 Aug 2024
Improving Retrieval Augmented Language Model with Self-Reasoning
Improving Retrieval Augmented Language Model with Self-Reasoning
Yuan Xia
Jingbo Zhou
Zhenhui Shi
Jun Chen
Hai-ting Huang
AIFin
LRM
ReLM
KELM
50
8
0
29 Jul 2024
Know Your Limits: A Survey of Abstention in Large Language Models
Know Your Limits: A Survey of Abstention in Large Language Models
Bingbing Wen
Jihan Yao
Shangbin Feng
Chenjun Xu
Yulia Tsvetkov
Bill Howe
Lucy Lu Wang
59
5
0
25 Jul 2024
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases
  Generation with Small Language Models
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
Ioana Buhnila
Aman Sinha
Mathieu Constant
LM&MA
29
1
0
23 Jul 2024
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of
  Large Language Models
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
Nishanth Madhusudhan
Sathwik Tejaswi Madhusudhan
Vikas Yadav
Masoud Hashemi
21
4
0
23 Jul 2024
MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval
  Augmented Generation
MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
Marco Simoni
Andrea Saracino
Vinod Puthuvath
Maurco Conti
57
2
0
22 Jul 2024
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Knowledge Mechanisms in Large Language Models: A Survey and Perspective
Meng Wang
Yunzhi Yao
Ziwen Xu
Shuofei Qiao
Shumin Deng
...
Yong-jia Jiang
Pengjun Xie
Fei Huang
Huajun Chen
Ningyu Zhang
52
28
0
22 Jul 2024
Retrieval-Augmented Generation for Natural Language Processing: A Survey
Retrieval-Augmented Generation for Natural Language Processing: A Survey
Shangyu Wu
Ying Xiong
Yufei Cui
Haolun Wu
Can Chen
...
Lianming Huang
Xue Liu
Tei-Wei Kuo
Nan Guan
Chun Jason Xue
3DV
RALM
38
26
0
18 Jul 2024
Establishing Knowledge Preference in Language Models
Establishing Knowledge Preference in Language Models
Sizhe Zhou
Sha Li
Yu Meng
Yizhu Jiao
Heng Ji
Jiawei Han
KELM
85
0
0
17 Jul 2024
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
To Eun Kim
Alireza Salemi
Andrew Drozdov
Fernando Diaz
Hamed Zamani
56
7
0
17 Jul 2024
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World
  Questions
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
Shicheng Liu
Sina J. Semnani
Harold Triedman
Jialiang Xu
Isaac Dan Zhao
Monica S. Lam
35
6
0
16 Jul 2024
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for
  Improved Quality and Efficiency in RAG Systems
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems
Yunxiao Shi
Xing Zi
Zijing Shi
Haimin Zhang
Qiang Wu
Min Xu
39
7
0
15 Jul 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Zhenhua Liu
Tong Zhu
Chuanyuan Tan
Wenliang Chen
PILM
MU
53
8
0
14 Jul 2024
On Mitigating Code LLM Hallucinations with API Documentation
On Mitigating Code LLM Hallucinations with API Documentation
Nihal Jain
Robert Kwiatkowski
Baishakhi Ray
M. K. Ramanathan
Varun Kumar
41
7
0
13 Jul 2024
Lynx: An Open Source Hallucination Evaluation Model
Lynx: An Open Source Hallucination Evaluation Model
Selvan Sunitha Ravi
B. Mielczarek
Anand Kannappan
Douwe Kiela
Rebecca Qian
VLM
RALM
HILM
53
17
0
11 Jul 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
80
32
0
11 Jul 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in
  Large Language Models Using Only Attention Maps
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Yung-Sung Chuang
Linlu Qiu
Cheng-Yu Hsieh
Ranjay Krishna
Yoon Kim
James R. Glass
HILM
18
35
0
09 Jul 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
Rulin Shao
Jacqueline He
Akari Asai
Weijia Shi
Tim Dettmers
Sewon Min
Luke Zettlemoyer
Pang Wei Koh
RALM
29
22
0
09 Jul 2024
DSLR: Document Refinement with Sentence-Level Re-ranking and
  Reconstruction to Enhance Retrieval-Augmented Generation
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation
Taeho Hwang
Soyeong Jeong
Sukmin Cho
SeungYoon Han
Jong C. Park
RALM
32
1
0
04 Jul 2024
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs'
  Memorization
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
Md Nayem Uddin
Amir Saeidi
Divij Handa
Agastya Seth
Tran Cao Son
Eduardo Blanco
Steven Corman
Chitta Baral
40
1
0
03 Jul 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in
  LLMs
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu
Ming-Yu Liu
Zihan Liu
Wei Ping
Jiaxuan You
Chao Zhang
M. Shoeybi
Bryan Catanzaro
ALM
RALM
39
50
0
02 Jul 2024
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
David Rau
Hervé Déjean
Nadezhda Chirkova
Thibault Formal
Shuai Wang
Vassilina Nikoulina
S. Clinchant
45
12
0
01 Jul 2024
Seeing Is Believing: Black-Box Membership Inference Attacks Against
  Retrieval Augmented Generation
Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation
Yongqian Li
Gaoyang Liu
Yang Yang
Chen Wang
AAML
33
3
0
27 Jun 2024
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented
  Generation
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Zijun Yao
Weijian Qi
Liangming Pan
S. Cao
Linmei Hu
Weichuan Liu
Lei Hou
Juanzi Li
RALM
38
6
0
27 Jun 2024
Banishing LLM Hallucinations Requires Rethinking Generalization
Banishing LLM Hallucinations Requires Rethinking Generalization
Johnny Li
Saksham Consul
Eda Zhou
James Wong
Naila Farooqui
...
Zhuxiaona Wei
Tian Wu
Ben Echols
Sharon Zhou
Gregory Diamos
LRM
26
10
0
25 Jun 2024
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Zexuan Qiu
Zijing Ou
Bin Wu
Jingjing Li
Aiwei Liu
Irwin King
KELM
RALM
46
5
0
25 Jun 2024
Attention Instruction: Amplifying Attention in the Middle via Prompting
Attention Instruction: Amplifying Attention in the Middle via Prompting
Meiru Zhang
Zaiqiao Meng
Nigel Collier
43
4
0
24 Jun 2024
It Is Not About What You Say, It Is About How You Say It: A Surprisingly
  Simple Approach for Improving Reading Comprehension
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension
Sagi Shaier
Lawrence E Hunter
K. Wense
44
3
0
24 Jun 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Yizhuo Zhang
Heng Wang
Shangbin Feng
Zhaoxuan Tan
Xiaochuang Han
Tianxing He
Yulia Tsvetkov
LRM
44
16
0
23 Jun 2024
Understanding the Role of User Profile in the Personalization of Large
  Language Models
Understanding the Role of User Profile in the Personalization of Large Language Models
Bin Wu
Zhengyan Shi
Hossein A. Rahmani
Varsha Ramineni
Emine Yilmaz
54
5
0
22 Jun 2024
Scaling Laws for Fact Memorization of Large Language Models
Scaling Laws for Fact Memorization of Large Language Models
Xingyu Lu
Xiaonan Li
Qinyuan Cheng
Kai Ding
Xuanjing Huang
Xipeng Qiu
32
11
0
22 Jun 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework
  for Knowledge-Intensive LLM Generation
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
Yuanjie Lyu
Zihan Niu
Zheyong Xie
Chao Zhang
Tong Xu
Yang Wang
Enhong Chen
RALM
28
8
0
21 Jun 2024
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Florin Cuconasu
Giovanni Trappolini
Nicola Tonellotto
Fabrizio Silvestri
53
2
0
21 Jun 2024
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop
  Question Answering
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
Zhengliang Shi
Shuo Zhang
Weiwei Sun
Shen Gao
Pengjie Ren
Zhumin Chen
Zhaochun Ren
RALM
40
28
0
21 Jun 2024
CodeRAG-Bench: Can Retrieval Augment Code Generation?
CodeRAG-Bench: Can Retrieval Augment Code Generation?
Zora Zhiruo Wang
Akari Asai
Xinyan Velocity Yu
Frank F. Xu
Yiqing Xie
Graham Neubig
Daniel Fried
RALM
74
30
0
20 Jun 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented
  Generation
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
Di Wu
Jia-Chen Gu
Fan Yin
Nanyun Peng
Kai-Wei Chang
HILM
53
1
0
19 Jun 2024
Factual Confidence of LLMs: on Reliability and Robustness of Current
  Estimators
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
Matéo Mahaut
Laura Aina
Paula Czarnowska
Momchil Hardalov
Thomas Müller
Lluís Marquez
HILM
34
12
0
19 Jun 2024
R^2AG: Incorporating Retrieval Information into Retrieval Augmented
  Generation
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
Fuda Ye
Shuangyin Li
Yongqi Zhang
L. Chen
37
0
0
19 Jun 2024
Learning to Generate Answers with Citations via Factual Consistency
  Models
Learning to Generate Answers with Citations via Factual Consistency Models
Rami Aly
Zhiqiang Tang
Samson Tan
George Karypis
HILM
39
4
0
19 Jun 2024
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei
Wei-Lin Chen
Yu Meng
RALM
69
12
0
19 Jun 2024
Estimating Knowledge in Large Language Models Without Generating a
  Single Token
Estimating Knowledge in Large Language Models Without Generating a Single Token
Daniela Gottesman
Mor Geva
43
11
0
18 Jun 2024
Unified Active Retrieval for Retrieval Augmented Generation
Unified Active Retrieval for Retrieval Augmented Generation
Qinyuan Cheng
Xiaonan Li
Shimin Li
Qin Zhu
Zhangyue Yin
Yunfan Shao
Linyang Li
Tianxiang Sun
Hang Yan
Xipeng Qiu
38
0
0
18 Jun 2024
How Do Large Language Models Acquire Factual Knowledge During
  Pretraining?
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Hoyeon Chang
Jinho Park
Seonghyeon Ye
Sohee Yang
Youngkyung Seo
Du-Seong Chang
Minjoon Seo
KELM
37
32
0
17 Jun 2024
Are Large Language Models a Good Replacement of Taxonomies?
Are Large Language Models a Good Replacement of Taxonomies?
Yushi Sun
Hao Xin
Kai Sun
Yongjun Xu
Xiao Yang
Xin Luna Dong
Nan Tang
Lei Chen
AI4MH
35
7
0
17 Jun 2024
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
Zhonghao Li
Xuming Hu
Aiwei Liu
Kening Zheng
S. Huang
Hui Xiong
RALM
115
8
0
17 Jun 2024
Generating Tables from the Parametric Knowledge of Language Models
Generating Tables from the Parametric Knowledge of Language Models
Yevgeni Berkovitch
Oren Glickman
Amit Somech
Tomer Wolfson
LMTD
48
1
0
16 Jun 2024
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