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

50 / 395 papers shown
Title
How Easily do Irrelevant Inputs Skew the Responses of Large Language
  Models?
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
Siye Wu
Jian Xie
Jiangjie Chen
Tinghui Zhu
Kai Zhang
Yanghua Xiao
KELM
35
19
0
04 Apr 2024
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
Chi-Min Chan
Chunpu Xu
Ruibin Yuan
Hongyin Luo
Wei Xue
Yi-Ting Guo
Jie Fu
RALM
26
58
0
31 Mar 2024
Planning and Editing What You Retrieve for Enhanced Tool Learning
Planning and Editing What You Retrieve for Enhanced Tool Learning
Tenghao Huang
Dongwon Jung
Muhao Chen
KELM
16
7
0
30 Mar 2024
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
Jamshid Mozafari
Anubhav Jangra
Adam Jatowt
25
3
1
27 Mar 2024
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Abdelrahman Abdallah
M. Kasem
Mahmoud Abdalla
Mohamed Mahmoud
Mohamed Elkasaby
Yasser Elbendary
Adam Jatowt
RALM
11
13
0
26 Mar 2024
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language
  Models through Question Complexity
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Soyeong Jeong
Jinheon Baek
Sukmin Cho
Sung Ju Hwang
Jong C. Park
RALM
28
136
0
21 Mar 2024
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Yuren Mao
Xuemei Dong
Wenyi Xu
Yunjun Gao
Bin Wei
Ying Zhang
28
9
0
21 Mar 2024
Context Quality Matters in Training Fusion-in-Decoder for Extractive
  Open-Domain Question Answering
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering
Kosuke Akimoto
Kunihiro Takeoka
M. Oyamada
30
1
0
21 Mar 2024
Correcting misinformation on social media with a large language model
Correcting misinformation on social media with a large language model
Xinyi Zhou
Ashish Sharma
Amy X. Zhang
Tim Althoff
KELM
36
2
0
17 Mar 2024
Repoformer: Selective Retrieval for Repository-Level Code Completion
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu
W. Ahmad
Dejiao Zhang
M. K. Ramanathan
Xiaofei Ma
25
9
0
15 Mar 2024
RAGGED: Towards Informed Design of Retrieval Augmented Generation
  Systems
RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems
Jennifer Hsia
Afreen Shaikh
Zhiruo Wang
Graham Neubig
RALM
25
10
0
14 Mar 2024
Knowledge Conflicts for LLMs: A Survey
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu
Zehan Qi
Zhijiang Guo
Cunxiang Wang
Hongru Wang
Yue Zhang
Wei Xu
198
91
0
13 Mar 2024
Big City Bias: Evaluating the Impact of Metropolitan Size on
  Computational Job Market Abilities of Language Models
Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models
Charlie Campanella
Rob van der Goot
18
0
0
12 Mar 2024
Beyond Memorization: The Challenge of Random Memory Access in Language
  Models
Beyond Memorization: The Challenge of Random Memory Access in Language Models
Tongyao Zhu
Qian Liu
Liang Pang
Zhengbao Jiang
Min-Yen Kan
Min-Bin Lin
KELM
29
6
0
12 Mar 2024
Truth-Aware Context Selection: Mitigating Hallucinations of Large
  Language Models Being Misled by Untruthful Contexts
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
Tian Yu
Shaolei Zhang
Yang Feng
HILM
34
7
0
12 Mar 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation
  via Iterative Self-Feedback
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
Yanming Liu
Xinyue Peng
Xuhong Zhang
Weihao Liu
Jianwei Yin
Jiannan Cao
Tianyu Du
RALM
24
37
0
11 Mar 2024
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Unfamiliar Finetuning Examples Control How Language Models Hallucinate
Katie Kang
Eric Wallace
Claire Tomlin
Aviral Kumar
Sergey Levine
HILM
LRM
27
49
0
08 Mar 2024
FaaF: Facts as a Function for the evaluation of generated text
FaaF: Facts as a Function for the evaluation of generated text
Vasileios Katranidis
Gabor Barany
HILM
RALM
39
4
0
06 Mar 2024
Reliable, Adaptable, and Attributable Language Models with Retrieval
Reliable, Adaptable, and Attributable Language Models with Retrieval
Akari Asai
Zexuan Zhong
Danqi Chen
Pang Wei Koh
Luke Zettlemoyer
Hanna Hajishirzi
Wen-tau Yih
KELM
RALM
36
53
0
05 Mar 2024
Learning to Use Tools via Cooperative and Interactive Agents
Learning to Use Tools via Cooperative and Interactive Agents
Zhengliang Shi
Shen Gao
Xiuyi Chen
Zhumin Chen
Lingyong Yan
Haibo Shi
Dawei Yin
Pengjie Ren
Suzan Verberne
Zhaochun Ren
LLMAG
24
24
0
05 Mar 2024
Causal Prompting: Debiasing Large Language Model Prompting based on
  Front-Door Adjustment
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment
Congzhi Zhang
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
CML
AI4CE
LRM
44
15
0
05 Mar 2024
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for
  Enhancing Reference-Based Phishing Detection
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
Yuexin Li
Chengyu Huang
Shumin Deng
Mei Lin Lock
Tri Cao
Nay Oo
Hoon Wei Lim
Bryan Hooi
42
16
0
04 Mar 2024
Fine Tuning vs. Retrieval Augmented Generation for Less Popular
  Knowledge
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Heydar Soudani
Evangelos Kanoulas
Faegheh Hasibi
21
28
0
03 Mar 2024
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring
  Commonsense Reasoning and Long-Tail Knowledge
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
Willis Guo
Armin Toroghi
Scott Sanner
RALM
30
5
0
03 Mar 2024
ROME: Memorization Insights from Text, Logits and Representation
ROME: Memorization Insights from Text, Logits and Representation
Bo Li
Qing Xia Zhao
Lijie Wen
25
2
0
01 Mar 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Bin Cui
3DV
110
220
0
29 Feb 2024
Evaluating Very Long-Term Conversational Memory of LLM Agents
Evaluating Very Long-Term Conversational Memory of LLM Agents
A. Maharana
Dong-Ho Lee
Sergey Tulyakov
Mohit Bansal
Francesco Barbieri
Yuwei Fang
LLMAG
17
66
0
27 Feb 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain
  Question Answering
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
Yuhao Wang
Ruiyang Ren
Junyi Li
Wayne Xin Zhao
Jing Liu
Ji-Rong Wen
RALM
40
8
0
27 Feb 2024
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Juyeon Kim
Jeongeun Lee
Yoonho Chang
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
KELM
LRM
44
2
0
27 Feb 2024
Long-Context Language Modeling with Parallel Context Encoding
Long-Context Language Modeling with Parallel Context Encoding
Howard Yen
Tianyu Gao
Danqi Chen
30
43
0
26 Feb 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for
  Short-form Open-Domain Question Answering
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
Zihan Zhang
Meng Fang
Ling-Hao Chen
RALM
54
12
0
26 Feb 2024
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing
  Study
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study
Tianjie Ju
Weiwei Sun
Wei Du
Xinwei Yuan
Zhaochun Ren
Gongshen Liu
KELM
31
23
0
25 Feb 2024
Say More with Less: Understanding Prompt Learning Behaviors through Gist
  Compression
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
Xinze Li
Zhenghao Liu
Chenyan Xiong
Shi Yu
Yukun Yan
Shuo Wang
Ge Yu
VLM
36
4
0
25 Feb 2024
Fine-Grained Self-Endorsement Improves Factuality and Reasoning
Fine-Grained Self-Endorsement Improves Factuality and Reasoning
Ante Wang
Linfeng Song
Baolin Peng
Ye Tian
Lifeng Jin
Haitao Mi
Jinsong Su
Dong Yu
HILM
LRM
23
6
0
23 Feb 2024
Faithful Temporal Question Answering over Heterogeneous Sources
Faithful Temporal Question Answering over Heterogeneous Sources
Zhen Jia
Philipp Christmann
G. Weikum
25
9
0
23 Feb 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An
  Analysis of Fine-Tuning Strategies
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
Nitesh Kumar
Usashi Chatterjee
Steven Schockaert
35
1
0
23 Feb 2024
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge
  Conflicts in Retrieval-Augmented Language Models
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
Zhuoran Jin
Pengfei Cao
Yubo Chen
Kang Liu
Xiaojian Jiang
Jiexin Xu
Qiuxia Li
Jun Zhao
193
43
0
22 Feb 2024
Can Language Models Act as Knowledge Bases at Scale?
Can Language Models Act as Knowledge Bases at Scale?
Qiyuan He
Yizhong Wang
Wenya Wang
KELM
LRM
24
8
0
22 Feb 2024
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
Wanqing Cui
Keping Bi
J. Guo
Xueqi Cheng
SyDa
ReLM
RALM
LRM
24
7
0
21 Feb 2024
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning
Zhipeng Xu
Zhenghao Liu
Yibin Liu
Chenyan Xiong
Yukun Yan
Shuo Wang
Shi Yu
Zhiyuan Liu
Ge Yu
VLM
33
3
0
21 Feb 2024
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval
  Augmentation to Language Models
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
Seiji Maekawa
Hayate Iso
Sairam Gurajada
Nikita Bhutani
RALM
KELM
29
14
0
21 Feb 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When
  and What to Retrieve for LLMs
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
Jiejun Tan
Zhicheng Dou
Yutao Zhu
Peidong Guo
Kun Fang
Ji-Rong Wen
37
23
0
19 Feb 2024
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with
  External Knowledge Augmentation
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation
Keyang Xuan
Li Yi
Fan Yang
Ruochen Wu
Yi Ren Fung
Heng Ji
24
11
0
19 Feb 2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of
  Large Language Models
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
Jiahao Ying
Yixin Cao
Yushi Bai
Qianru Sun
Bo Wang
Wei Tang
Zhaojun Ding
Yizhe Yang
Xuanjing Huang
Shuicheng Yan
KELM
14
5
0
19 Feb 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding
  with Contextual Information-Entropy Constraint
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint
Xiaowei Yuan
Zhao Yang
Yequan Wang
Shengping Liu
Jun Zhao
Kang Liu
21
7
0
19 Feb 2024
Benchmarking Knowledge Boundary for Large Language Models: A Different
  Perspective on Model Evaluation
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
Xunjian Yin
Xu Zhang
Jie Ruan
Xiaojun Wan
ELM
22
17
0
18 Feb 2024
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs'
  Overconfidence Helps Retrieval Augmentation
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
Shiyu Ni
Keping Bi
J. Guo
Xueqi Cheng
RALM
30
26
0
18 Feb 2024
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot
  Relation Extraction
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
Sizhe Zhou
Yu Meng
Bowen Jin
Jiawei Han
28
7
0
17 Feb 2024
Humans or LLMs as the Judge? A Study on Judgement Biases
Humans or LLMs as the Judge? A Study on Judgement Biases
Guiming Hardy Chen
Shunian Chen
Ziche Liu
Feng Jiang
Benyou Wang
77
91
0
16 Feb 2024
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for
  Hallucination Mitigation in Large Language Models
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models
Hanxing Ding
Liang Pang
Zihao Wei
Huawei Shen
Xueqi Cheng
HILM
RALM
67
15
0
16 Feb 2024
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