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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 / 397 papers shown
Title
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite
  Learning
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu
Shiyu Chang
Tommi Jaakkola
Yang Zhang
23
0
0
25 Oct 2024
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems
Ishneet Sukhvinder Singh
Ritvik Aggarwal
Ibrahim Allahverdiyev
Muhammad Taha
Aslihan Akalin
Kevin Zhu
Sean O'Brien
23
8
0
25 Oct 2024
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate
  Hallucinations
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
Aryo Pradipta Gema
Chen Jin
Ahmed Abdulaal
Tom Diethe
Philip Teare
Beatrice Alex
Pasquale Minervini
Amrutha Saseendran
26
5
0
24 Oct 2024
IPL: Leveraging Multimodal Large Language Models for Intelligent Product
  Listing
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
Kang Chen
Qingheng Zhang
Chengbao Lian
Yixin Ji
Xuwei Liu
Shuguang Han
Guoqiang Wu
Fei Huang
Jufeng Chen
24
1
0
22 Oct 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via
  Reinforcement Learning
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
Zongmeng Zhang
Yufeng Shi
Jinhua Zhu
Wengang Zhou
Xiang Qi
Peng Zhang
H. Li
RALM
HILM
18
0
0
22 Oct 2024
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
Jerry Huang
Prasanna Parthasarathi
Mehdi Rezagholizadeh
Boxing Chen
Sarath Chandar
48
0
0
22 Oct 2024
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
Changmao Li
Jeffrey Flanigan
KELM
LRM
24
0
0
21 Oct 2024
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Yu Zhao
Alessio Devoto
Giwon Hong
Xiaotang Du
Aryo Pradipta Gema
Hongru Wang
Xuanli He
Kam-Fai Wong
Pasquale Minervini
KELM
LLMSV
32
16
0
21 Oct 2024
Analysing the Residual Stream of Language Models Under Knowledge Conflicts
Analysing the Residual Stream of Language Models Under Knowledge Conflicts
Yu Zhao
Xiaotang Du
Giwon Hong
Aryo Pradipta Gema
Alessio Devoto
Hongru Wang
Xuanli He
Kam-Fai Wong
Pasquale Minervini
KELM
37
1
0
21 Oct 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based
  LLMs
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
Xin Zhou
Ping Nie
Yiwen Guo
Haojie Wei
Zhanqiu Zhang
Pasquale Minervini
Ruotian Ma
Tao Gui
Qi Zhang
Xuanjing Huang
MoE
42
0
0
20 Oct 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings
HyQE: Ranking Contexts with Hypothetical Query Embeddings
Weichao Zhou
Jiaxin Zhang
Hilaf Hasson
Anu Singh
Wenchao Li
RALM
14
1
0
20 Oct 2024
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
Yuankai Li
Jia-Chen Gu
Di Wu
Kai-Wei Chang
Nanyun Peng
RALM
MQ
18
0
0
20 Oct 2024
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion
Denitsa Saynova
Lovisa Hagström
Moa Johansson
Richard Johansson
Marco Kuhlmann
HILM
34
0
0
18 Oct 2024
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Ingeol Baek
Hwan Chang
Byeongjeong Kim
Jimin Lee
Hwanhee Lee
RALM
57
4
0
17 Oct 2024
On the Risk of Evidence Pollution for Malicious Social Text Detection in
  the Era of LLMs
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan
Minnan Luo
Zhixiong Su
Guang Dai
Xiang Zhao
DeLMO
27
0
0
16 Oct 2024
Conformity in Large Language Models
Conformity in Large Language Models
Xiaochen Zhu
Caiqi Zhang
Tom Stafford
Nigel Collier
Andreas Vlachos
35
0
0
16 Oct 2024
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
Jinyoung Kim
Dayoon Ko
Gunhee Kim
18
1
0
15 Oct 2024
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
Zhongwu Chen
Chengjin Xu
Dingmin Wang
Zhen Huang
Yong Dou
Xuhui Jiang
Jian Guo
RALM
105
1
0
15 Oct 2024
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented
  Language Models with Parameter Decoupling and Tailored Tuning
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
Yongxin Xu
Ruizhe Zhang
Xinke Jiang
Yujie Feng
Yuzhen Xiao
Xinyu Ma
Runchuan Zhu
Xu Chu
Junfeng Zhao
Yasha Wang
KELM
20
4
0
14 Oct 2024
A Multi-LLM Orchestration Engine for Personalized, Context-Rich
  Assistance
A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance
Sumedh Rasal
15
0
0
13 Oct 2024
Understanding the Interplay between Parametric and Contextual Knowledge
  for Large Language Models
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
Sitao Cheng
Liangming Pan
Xunjian Yin
Xinyi Wang
William Yang Wang
KELM
37
4
0
10 Oct 2024
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed
  KV Caches for Chunked Text
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
Songshuo Lu
Hua Wang
Yutian Rong
Zhi Chen
Yaohua Tang
VLM
31
12
0
10 Oct 2024
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge
  Conflicts for Large Language Models
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Fei Wang
Xingchen Wan
Ruoxi Sun
Jiefeng Chen
Sercan Ö. Arık
RALM
32
7
0
09 Oct 2024
Context-Augmented Code Generation Using Programming Knowledge Graphs
Context-Augmented Code Generation Using Programming Knowledge Graphs
Iman Saberi
Fatemeh H. Fard
21
1
0
09 Oct 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can
  Improve Retrieval Augmented Generation
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
Bolei He
Nuo Chen
Xinran He
Lingyong Yan
Zhenkai Wei
Jinchang Luo
Zhen-Hua Ling
RALM
LRM
23
1
0
08 Oct 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
Hang Guo
Tao Dai
Zhihao Ouyang
Taolin Zhang
Yaohua Zha
Bin Chen
Shu-Tao Xia
DiffM
30
5
0
08 Oct 2024
Deciphering the Interplay of Parametric and Non-parametric Memory in
  Retrieval-augmented Language Models
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
M. Farahani
Richard Johansson
RALM
26
2
0
07 Oct 2024
Adaptive Question Answering: Enhancing Language Model Proficiency for
  Addressing Knowledge Conflicts with Source Citations
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations
Sagi Shaier
Ari Kobren
Philip Ogren
HILM
29
5
0
05 Oct 2024
How to Train Long-Context Language Models (Effectively)
How to Train Long-Context Language Models (Effectively)
Tianyu Gao
Alexander Wettig
Howard Yen
Danqi Chen
RALM
72
37
0
03 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALM
ELM
56
25
0
03 Oct 2024
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large
  Language Models
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Shayekh Bin Islam
Md Asib Rahman
K S M Tozammel Hossain
Enamul Hoque
Shafiq R. Joty
Md. Rizwan Parvez
RALM
AIFin
LRM
VLM
35
13
0
02 Oct 2024
A Survey on Complex Tasks for Goal-Directed Interactive Agents
A Survey on Complex Tasks for Goal-Directed Interactive Agents
Mareike Hartmann
Alexander Koller
LM&Ro
LLMAG
32
0
0
27 Sep 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual
  Prompting Framework
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
Lu Chen
Ruqing Zhang
Jiafeng Guo
Yixing Fan
Xueqi Cheng
24
3
0
24 Sep 2024
Learning When to Retrieve, What to Rewrite, and How to Respond in
  Conversational QA
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA
Nirmal Roy
Leonardo F. R. Ribeiro
Rexhina Blloshmi
Kevin Small
RALM
22
2
0
23 Sep 2024
AQA: Adaptive Question Answering in a Society of LLMs via Contextual
  Multi-Armed Bandit
AQA: Adaptive Question Answering in a Society of LLMs via Contextual Multi-Armed Bandit
Mohanna Hoveyda
A. D. Vries
Maarten de Rijke
Harrie Oosterhuis
Faegheh Hasibi
13
2
0
20 Sep 2024
A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource
  Hallucination Detection in Large Language Models
A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models
Satoshi Munakata
Taku Fukui
Takao Mohri
21
0
0
20 Sep 2024
The Factuality of Large Language Models in the Legal Domain
The Factuality of Large Language Models in the Legal Domain
Rajaa El Hamdani
Thomas Bonald
Fragkiskos D. Malliaros
Nils Holzenberger
Fabian M. Suchanek
AILaw
HILM
29
0
0
18 Sep 2024
Investigating Context-Faithfulness in Large Language Models: The Roles
  of Memory Strength and Evidence Style
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
Yuepei Li
Kang Zhou
Qiao Qiao
Bach Nguyen
Qing Wang
Qi Li
HILM
RALM
19
2
0
17 Sep 2024
SFR-RAG: Towards Contextually Faithful LLMs
SFR-RAG: Towards Contextually Faithful LLMs
Xuan-Phi Nguyen
Shrey Pandit
Senthil Purushwalkam
Austin Xu
Hailin Chen
Yifei Ming
Zixuan Ke
Silvio Savarese
Caiming Xong
Shafiq Joty
RALM
86
7
0
16 Sep 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
Mohit Bansal
75
5
0
11 Sep 2024
Translating Step-by-Step: Decomposing the Translation Process for
  Improved Translation Quality of Long-Form Texts
Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
Eleftheria Briakou
Jiaming Luo
Colin Cherry
Markus Freitag
69
11
0
10 Sep 2024
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
Yeonjun In
Sungchul Kim
Ryan A. Rossi
Md Mehrab Tanjim
Tong Yu
Ritwik Sinha
Chanyoung Park
30
0
0
04 Sep 2024
Claim Verification in the Age of Large Language Models: A Survey
Claim Verification in the Age of Large Language Models: A Survey
A. Dmonte
Roland Oruche
Marcos Zampieri
Prasad Calyam
Isabelle Augenstein
44
8
0
26 Aug 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for
  Retrieval-Augmented Generation
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
Xuanwang Zhang
Yunze Song
Yidong Wang
Shuyun Tang
Xinfeng Li
...
Wenyuan Xu
Yue Zhang
Xinyu Dai
Shikun Zhang
Qingsong Wen
36
4
0
21 Aug 2024
Analysis of Plan-based Retrieval for Grounded Text Generation
Analysis of Plan-based Retrieval for Grounded Text Generation
Ameya Godbole
Nicholas Monath
Seungyeon Kim
A. S. Rawat
Andrew McCallum
Manzil Zaheer
RALM
33
2
0
20 Aug 2024
Multilingual Needle in a Haystack: Investigating Long-Context Behavior
  of Multilingual Large Language Models
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
Amey Hengle
Prasoon Bajpai
Soham Dan
Tanmoy Chakraborty
LRM
29
2
0
19 Aug 2024
Are Large Language Models More Honest in Their Probabilistic or
  Verbalized Confidence?
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
Shiyu Ni
Keping Bi
Lulu Yu
Jiafeng Guo
HILM
22
4
0
19 Aug 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing
  Precision of RALMs
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
Kexin Ma
Ruochun Jin
Xi Wang
Huan Chen
Jing Ren
Yuhua Tang
31
0
0
10 Aug 2024
Enhancing Robustness of Retrieval-Augmented Language Models with
  In-Context Learning
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
Seong-Il Park
Seung-Woo Choi
Na-Hyun Kim
Jay-Yoon Lee
RALM
AIFin
LRM
30
3
0
08 Aug 2024
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
36
5
0
06 Aug 2024
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