ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.05115
  4. Cited By
Internet-augmented language models through few-shot prompting for
  open-domain question answering
v1v2 (latest)

Internet-augmented language models through few-shot prompting for open-domain question answering

10 March 2022
Angeliki Lazaridou
E. Gribovskaya
Wojciech Stokowiec
N. Grigorev
    KELMLRM
ArXiv (abs)PDFHTML

Papers citing "Internet-augmented language models through few-shot prompting for open-domain question answering"

50 / 101 papers shown
Title
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
Yihan Li
Xiyuan Fu
Ghanshyam Verma
P. Buitelaar
Mingming Liu
LRM
128
0
0
28 Oct 2025
Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
William Christian
Daniel Adamlu
Adrian Yu
Derwin Suhartono
RALM
135
0
0
24 Oct 2025
Exposing Citation Vulnerabilities in Generative Engines
Exposing Citation Vulnerabilities in Generative Engines
Riku Mochizuki
Shusuke Komatsu
Souta Noguchi
Kazuto Ataka
ELM
96
0
0
08 Oct 2025
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
Donghang Wu
H. Zhang
Chen Chen
Tianyu Zhang
Fei Tian
...
Gang Yu
Hexin Liu
Nana Hou
Yuchen Hu
Eng Siong Chng
AuLLMKELMAI4CELRM
392
2
0
02 Oct 2025
Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions
Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions
Junbeom Kim
Kyuyoung Kim
Jihoon Tack
Dongha Lim
Jinwoo Shin
MUKELM
109
1
0
30 Sep 2025
BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning
BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning
João Guilherme Alves Santos
Giovana K. Bonás
Thales Sales Almeida
64
0
0
29 Aug 2025
Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes
Trustworthy Reasoning: Evaluating and Enhancing Factual Accuracy in LLM Intermediate Thought Processes
Rui Jiao
Yue Zhang
Jinku Li
LRM
149
0
0
25 Jul 2025
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
Rui Li
Quanyu Dai
Zeyu Zhang
X. Chen
Zhenhua Dong
Ji-Rong Wen
RALM
152
0
0
26 May 2025
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
Shaokun Zhang
Yi Dong
Jieyu Zhang
Jan Kautz
Bryan Catanzaro
Andrew Tao
Qingyun Wu
Zhiding Yu
Guilin Liu
LLMAGOffRLKELMLRM
421
0
0
25 Apr 2025
Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control
Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control
Jinyan Su
Jennifer Healey
Preslav Nakov
Claire Cardie
3DV
259
2
0
17 Feb 2025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang
Shengyuan Chen
Yuanchen Bei
Zheng Yuan
Huachi Zhou
...
Hao-Heng Chen
Chuang Zhou
Yi-Ju Chang
Yi-Ju Chang
Xiao Huang
3DV
478
60
0
21 Jan 2025
QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA PerformanceIEEE Access (IEEE Access), 2025
Binita Saha
Utsha Saha
Muhammad Zubair Malik
RALM3DV
216
15
0
06 Jan 2025
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Guangxin He
Zonghong Dai
Jiangcheng Zhu
Binqiang Zhao
Qicheng Hu
Chenyue Li
You Peng
Chen Wang
Binhang Yuan
313
1
0
31 Dec 2024
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through
  Structured Data
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data
Xue Wu
Kostas Tsioutsiouliklis
172
6
0
14 Dec 2024
CORAG: A Cost-Constrained Retrieval Optimization System for
  Retrieval-Augmented Generation
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation
Liang Luo
Haitao Yuan
Wei Dong
Gao Cong
Feifei Li
3DV
146
5
0
01 Nov 2024
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced RetrievalInternational Conference on Learning Representations (ICLR), 2024
Sheryl Hsu
Omar Khattab
Chelsea Finn
Archit Sharma
KELMRALM
245
15
0
30 Oct 2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via
  Reinforcement Learning
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement LearningInternational Conference on Machine Learning (ICML), 2024
Zongmeng Zhang
Yufeng Shi
Jinhua Zhu
Wengang Zhou
Xiang Qi
Peng Zhang
Haoyang Li
RALMHILM
128
2
0
22 Oct 2024
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception
Jihao Zhao
Zhiyuan Ji
Pengnian Qi
Pengnian Qi
Simin Niu
Feiyu Xiong
Zhiyu Li
Zhiyu Li
428
4
0
16 Oct 2024
Towards Building a Robust Knowledge Intensive Question Answering Model
  with Large Language Models
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language ModelsNatural Language Processing and Chinese Computing (NLPCC), 2024
Xingyun Hong
Yan Shao
Zhilin Wang
Manni Duan
Jin Xiongnan
181
0
0
09 Sep 2024
iToT: An Interactive System for Customized Tree-of-Thought Generation
iToT: An Interactive System for Customized Tree-of-Thought Generation
Alan Boyle
Isha Gupta
Sebastian Hönig
Lukas Mautner
Kenza Amara
Furui Cheng
Mennatallah El-Assady
LRMLM&Ro
145
2
0
31 Aug 2024
Strategic Optimization and Challenges of Large Language Models in
  Object-Oriented Programming
Strategic Optimization and Challenges of Large Language Models in Object-Oriented Programming
Zinan Wang
81
0
0
27 Aug 2024
SentenceVAE: Enable Next-sentence Prediction for Large Language Models
  with Faster Speed, Higher Accuracy and Longer Context
SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
Hongjun An
Yifan Chen
Zhe Sun
Xuelong Li
219
0
0
01 Aug 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
3DVRALM
372
84
0
18 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
Mohammad Shoeybi
Bryan Catanzaro
ALMRALM
285
151
0
02 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications
  within Australian Critical Technologies of National Interest
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest
Christoforus Yoga Haryanto
Minh Hieu Vu
Trung Duc Nguyen
Emily Lomempow
Yulia Nurliana
Sona Taheri
181
3
0
01 Jul 2024
Augmenting Query and Passage for Retrieval-Augmented Generation using
  LLMs for Open-Domain Question Answering
Augmenting Query and Passage for Retrieval-Augmented Generation using LLMs for Open-Domain Question Answering
Minsang Kim
Cheoneum Park
Seungjun Baek
RALM
130
0
0
20 Jun 2024
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval
  Augmented Large Language Models
R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
Shangqing Tu
Yuanchun Wang
Jifan Yu
Yuyang Xie
Yaran Shi
Xiaozhi Wang
Jing Zhang
Lei Hou
Juanzi Li
ELM
148
6
0
17 Jun 2024
Evaluating the External and Parametric Knowledge Fusion of Large
  Language Models
Evaluating the External and Parametric Knowledge Fusion of Large Language Models
Hao Zhang
Yuyang Zhang
Xiaoguang Li
Wenxuan Shi
Haonan Xu
...
Yasheng Wang
Lifeng Shang
Qun Liu
Yong Liu
Ruiming Tang
KELM
210
7
0
29 May 2024
Tool Learning with Large Language Models: A Survey
Tool Learning with Large Language Models: A Survey
Changle Qu
Sunhao Dai
Xiaochi Wei
Hengyi Cai
Shuaiqiang Wang
D. Yin
Jun Xu
Jirong Wen
LLMAG
264
198
0
28 May 2024
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking
SoAy: A Solution-based LLM API-using Methodology for Academic Information Seeking
Yuanchun Wang
Jifan Yu
Zijun Yao
Jing Zhang
Yuyang Xie
...
Yuanyao Li
Huihui Yuan
Lei Hou
Juan-Zi Li
Jie Tang
211
9
0
24 May 2024
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date KnowledgeNeural Information Processing Systems (NeurIPS), 2024
Chuanhao Li
Zhen Li
Chenchen Jing
Shuo Liu
Wenqi Shao
Yuwei Wu
Ping Luo
Yu Qiao
Kaipeng Zhang
ELM
179
0
0
23 May 2024
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning
  Inner Monologues
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner MonologuesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Diji Yang
Jinmeng Rao
Kezhen Chen
Xiaoyuan Guo
Yawen Zhang
Jie Yang
Yi Zhang
LRMRALM
204
41
0
15 May 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsKnowledge Discovery and Data Mining (KDD), 2024
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
D. Yin
Tat-Seng Chua
Qing Li
RALM3DV
498
548
0
10 May 2024
From Language Models to Practical Self-Improving Computer Agents
From Language Models to Practical Self-Improving Computer Agents
Alex Sheng
LM&MALLMAG
129
1
0
18 Apr 2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA
  of LLMs
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Jaehyung Kim
Jaehyun Nam
Sangwoo Mo
Jongjin Park
Sang-Woo Lee
Minjoon Seo
Jung-Woo Ha
Jinwoo Shin
AIFinRALMELM
263
74
0
17 Apr 2024
Data Augmentation with In-Context Learning and Comparative Evaluation in
  Math Word Problem Solving
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
Gulsum Yigit
M. Amasyalı
AIMat
134
1
0
05 Apr 2024
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with
  Autoformalization
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
Jin Peng Zhou
Charles Staats
Wenda Li
Christian Szegedy
Kilian Q. Weinberger
Yuhuai Wu
LRM
152
58
0
26 Mar 2024
What Are Tools Anyway? A Survey from the Language Model Perspective
What Are Tools Anyway? A Survey from the Language Model Perspective
Zhiruo Wang
Zhoujun Cheng
Hao Zhu
Daniel Fried
Graham Neubig
258
46
0
18 Mar 2024
RAFT: Adapting Language Model to Domain Specific RAG
RAFT: Adapting Language Model to Domain Specific RAG
Tianjun Zhang
Shishir G. Patil
Naman Jain
Sheng Shen
Matei A. Zaharia
Ion Stoica
Joseph E. Gonzalez
RALM
246
284
0
15 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
Online Adaptation of Language Models with a Memory of Amortized Contexts
Jihoon Tack
Jaehyung Kim
Eric Mitchell
Jinwoo Shin
Yee Whye Teh
Jonathan Richard Schwarz
KELM
225
29
0
07 Mar 2024
Certifying Knowledge Comprehension in LLMs
Certifying Knowledge Comprehension in LLMs
Isha Chaudhary
Vedaant V. Jain
Gagandeep Singh
214
0
0
24 Feb 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via
  Query Generation Blending and Knowledge Filtering
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
Haoyu Wang
Ruirui Li
Haoming Jiang
Jinjin Tian
Zhengyang Wang
Chen Luo
Xianfeng Tang
Monica Cheng
Tuo Zhao
Jing Gao
RALMKELM
174
34
0
16 Feb 2024
Adapting Large Language Models for Education: Foundational Capabilities,
  Potentials, and Challenges
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li
Lingyue Fu
Weiming Zhang
Xianyu Chen
Jingwei Yu
Wei Xia
Weinan Zhang
Ruiming Tang
Yong Yu
AI4EdELM
263
37
0
27 Dec 2023
Unifying Corroborative and Contributive Attributions in Large Language
  Models
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge
Judy Hanwen Shen
Nicole Meister
Caleb Winston
Carlos Guestrin
TDI
271
13
0
20 Nov 2023
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific
  Recommendations
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations
Jing Yao
Wei Xu
Jianxun Lian
Xiting Wang
Xiaoyuan Yi
Xing Xie
ALM
106
26
0
16 Nov 2023
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
  Models
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wenhao Yu
Hongming Zhang
Xiaoman Pan
Kaixin Ma
Hongwei Wang
Dong Yu
KELMRALMLRM
222
159
0
15 Nov 2023
Knowledge-Augmented Large Language Models for Personalized Contextual
  Query Suggestion
Knowledge-Augmented Large Language Models for Personalized Contextual Query SuggestionThe Web Conference (WWW), 2023
Jinheon Baek
N. Chandrasekaran
Silviu Cucerzan
Allen Herring
S. Jauhar
RALMKELM
220
58
0
10 Nov 2023
Characterizing Large Language Models as Rationalizers of
  Knowledge-intensive Tasks
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
Aditi Mishra
Sajjadur Rahman
H. Kim
Kushan Mitra
Estevam R. Hruschka
271
10
0
09 Nov 2023
Evaluating Generative Ad Hoc Information Retrieval
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp
Harrisen Scells
Niklas Deckers
Janek Bevendorff
Shuai Wang
...
Maik Fröbe
Guide Zucoon
Benno Stein
Matthias Hagen
Martin Potthast
RALM
350
22
0
08 Nov 2023
Unleashing the potential of prompt engineering in Large Language Models:
  a comprehensive review
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Banghao Chen
Zhaofeng Zhang
Nicolas Langrené
Shengxin Zhu
LLMAG
349
89
0
23 Oct 2023
123
Next