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Context-faithful Prompting for Large Language Models

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

20 March 2023

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Papers citing "Context-faithful Prompting for Large Language Models"

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Title
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge Drago Plečko Patrik Okanovic Torsten Hoefler Elias Bareinboim Elias Bareinboim 88 0 0 04 Nov 2025
Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation Linfeng Gao Baolong Bi Zheng Yuan Le Wang Zerui Chen Zhimin Wei Shenghua Liu Qinggang Zhang Jinsong Su RALM 152 0 0 14 Oct 2025
COSTAR-A: A prompting framework for enhancing Large Language Model performance on Point-of-View questions Nzubechukwu C. Ohalete Kevin B. Gittner Lauren M. Matheny LRM 36 0 0 14 Oct 2025
Mitigating Modal Imbalance in Multimodal Reasoning Chen Henry Wu Neil Kale Aditi Raghunathan LRM 92 0 0 02 Oct 2025
Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks Hasibur Rahman Smit Desai 52 0 0 11 Sep 2025
On the Security of Tool-Invocation Prompts for LLM-Based Agentic Systems: An Empirical Risk Assessment Yuchong Xie Mingyu Luo Zesen Liu Z. Zhang Kaikai Zhang Yu Liu Zongjie Li Ping Chen Shuai Wang Dongdong She LLMAG 236 2 0 06 Sep 2025
SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation Xiaqiang Tang Yi Wang Keyu Hu Rui Xu Chuang Li Weigao Sun Jian Li Sihong Xie RALM 99 0 0 24 Aug 2025
Context-Informed Grounding Supervision Hyunji Lee Seunghyun Yoon Yunjae Won Hanseok Oh Geewook Kim Trung H. Bui Franck Dernoncourt Elias Stengel-Eskin Mohit Bansal Minjoon Seo LRM 206 2 0 18 Jun 2025
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Mohammad Kasra Habib Daniel Graziotin Stefan Wagner 306 0 0 23 May 2025
After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG Xinbang Dai Huikang Hu Yuncheng Hua Jiaqi Li Yongrui Chen Rihui Jin Nan Hu Guilin Qi RALM 3DV 155 1 0 21 May 2025
Know Or Not: a library for evaluating out-of-knowledge base robustness Jessica Foo Pradyumna Shyama Prasad Shaun Khoo 191 1 0 19 May 2025
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models Yu Fu Haz Sameen Shahgir Hui Liu Xianfeng Tang Qi He Yue Dong KELM 356 1 0 11 Apr 2025
Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language ModelsInternational Journal of Advanced Computer Science and Applications (IJACSA), 2025 Zahra Khalila Arbi Haza Nasution Winda Monika Aytug Onan Yohei Murakami Yasir Bin Ismail Radi Noor Mohammad Osmani RALM 231 4 0 20 Mar 2025
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models Baolong Bi Shenghua Liu Longji Xu Yilong Xu Cunchun Li Shansong Liu Xueqi Cheng KELM 241 21 0 20 Mar 2025
Taming Knowledge Conflicts in Language Models Gaotang Li Yuzhong Chen Hanghang Tong KELM 326 8 0 14 Mar 2025
Balancing Innovation and Integrity: AI Integration in Liberal Arts College Administration Ian Olivo Read 138 0 0 20 Feb 2025
Controllable Context Sensitivity and the Knob Behind ItInternational Conference on Learning Representations (ICLR), 2024 Julian Minder Kevin Du Niklas Stoehr Giovanni Monea Chris Wendler Robert West Robert Bamler KELM 480 16 0 11 Nov 2024
CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2024 Weihang Guo Zachary Kingston Lydia E. Kavraki 244 10 0 29 Oct 2024
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 RALM HILM 124 2 0 22 Oct 2024
Semantic Image Inversion and Editing using Rectified Stochastic Differential EquationsInternational Conference on Learning Representations (ICLR), 2024 Litu Rout Yujia Chen Nataniel Ruiz Constantine Caramanis Sanjay Shakkottai Wen-Sheng Chu DiffM 168 85 0 14 Oct 2024
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"International Conference on Learning Representations (ICLR), 2024 Yifei Ming Senthil Purushwalkam Shrey Pandit Zixuan Ke Xuan-Phi Nguyen Caiming Xiong Shafiq Joty HILM 522 40 0 30 Sep 2024
Improving Context-Aware Preference Modeling for Language Models Silviu Pitis Ziang Xiao Nicolas Le Roux Alessandro Sordoni 172 21 0 20 Jul 2024
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons Dan Shi Renren Jin Shangda Wu Weilong Dong Xinwei Wu Deyi Xiong 205 25 0 26 Jun 2024
AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang Qi Guo Wenjin Yao Hongbo Zhang Xin Zhang ... Hao Fei Qingsong Wen Wei Ye Shikun Zhang Yue Zhang LM&MA 166 69 0 10 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap François Roewer-Després Jinyue Feng Zining Zhu Frank Rudzicz LRM 316 0 0 04 Jun 2024
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character Siyuan Ma Weidi Luo Yu Wang Xiaogeng Liu 269 52 0 25 May 2024
Evaluating LLMs at Detecting Errors in LLM Responses Ryo Kamoi Sarkar Snigdha Sarathi Das Renze Lou Jihyun Janice Ahn Yilun Zhao ... Salika Dave Shaobo Qin Arman Cohan Wenpeng Yin Rui Zhang 180 43 0 04 Apr 2024
GUARD-D-LLM: An LLM-Based Risk Assessment Engine for the Downstream uses of LLMs Sundaraparipurnan Narayanan Sandeep Vishwakarma 223 3 0 02 Apr 2024
Debiasing Multimodal Large Language Models via Penalization of Language Priors Yi-Fan Zhang Weichen Yu Qingsong Wen Qingsong Wen Zhang Zhang Wenjing Yang Rong Jin Tien-Ping Tan Rong Jin 284 15 0 08 Mar 2024
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents Sam Yu-Te Lee Kwan-Liu Ma 244 3 0 05 Mar 2024
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems Zinat Ara Hossein Salemi Sungsoo Ray Hong Yasas Senarath Steve Peterson A. Hughes Hemant Purohit 107 4 0 04 Mar 2024
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries Zelalem Gero Chandan Singh Yiqing Xie Sheng Zhang Tristan Naumann Jianfeng Gao Hoifung Poon ELM ALM 169 7 0 01 Mar 2024
Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities Yuhao Chen Chloe Wong Hanwen Yang Juan Aguenza Sai Bhujangari ... Eric Phuong Minghao Liu Raja Kumar Vanshika Vats James Davis 300 0 0 22 Dec 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks Hao Peng Xiaozhi Wang Jianhui Chen Weikai Li Yunjia Qi ... Zhili Wu Kaisheng Zeng Bin Xu Lei Hou Juanzi Li 202 40 0 15 Nov 2023
Understanding Retrieval Augmentation for Long-Form Question Answering Hung-Ting Chen Fangyuan Xu Shane Arora Eunsol Choi RALM 121 44 0 18 Oct 2023
In-context Pretraining: Language Modeling Beyond Document BoundariesInternational Conference on Learning Representations (ICLR), 2023 Weijia Shi Sewon Min Maria Lomeli Chunting Zhou Margaret Li ... Victoria Lin Noah A. Smith Luke Zettlemoyer Scott Yih Mike Lewis LRM RALM SyDa 286 79 0 16 Oct 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity Cunxiang Wang Xiaoze Liu Yuanhao Yue Xiangru Tang Tianhang Zhang ... Linyi Yang Yongfeng Zhang Xing Xie Zheng Zhang Yue Zhang HILM KELM 359 248 0 11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Zihan Zhang Meng Fang Lingxi Chen Mohammad-Reza Namazi-Rad Jun Wang KELM 202 38 0 11 Oct 2023
Teaching Language Models to Hallucinate Less with Synthetic TasksInternational Conference on Learning Representations (ICLR), 2023 Erik Jones Hamid Palangi Clarisse Simoes Varun Chandrasekaran Subhabrata Mukherjee Arindam Mitra Ahmed Hassan Awadallah Ece Kamar HILM 308 38 0 10 Oct 2023
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Yifan Wei Yisong Su Huanhuan Ma Xiaoyan Yu Fangyu Lei Yuanzhe Zhang Jun Zhao Kang Liu LRM 169 20 0 08 Oct 2023
Making Retrieval-Augmented Language Models Robust to Irrelevant ContextInternational Conference on Learning Representations (ICLR), 2023 Ori Yoran Tomer Wolfson Ori Ram Jonathan Berant RALM LRM 382 287 0 02 Oct 2023
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs Cheng Qian Xinran Zhao Sherry Tongshuang Wu KELM 126 13 0 15 Sep 2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational Linguistics (CL), 2023 Yue Zhang Yafu Li Leyang Cui Deng Cai Lemao Liu ... Longyue Wang Anh Tuan Luu Freda Shi Shuming Shi Shuming Shi LRM RALM HILM 602 777 0 03 Sep 2023
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models Yugeng Liu Tianshuo Cong Subrat Kishore Dutta Michael Backes Yun Shen Yang Zhang AAML 164 10 0 15 Aug 2023
Let Me Teach You: Pedagogical Foundations of Feedback for Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Beatriz Borges Niket Tandon Tanja Käser Antoine Bosselut 392 8 0 01 Jul 2023
Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning Tianqing Fang Zhaowei Wang Wenxuan Zhou Hongming Zhang Yangqiu Song Muhao Chen 192 15 0 24 May 2023
Trusting Your Evidence: Hallucinate Less with Context-aware DecodingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Weijia Shi Xiaochuang Han M. Lewis Yulia Tsvetkov Luke Zettlemoyer Scott Yih HILM 186 281 0 24 May 2023
A Causal View of Entity Bias in (Large) Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Fei Wang Wen-An Mo Yiwei Wang Wenxuan Zhou Muhao Chen 178 19 0 24 May 2023
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsInternational Conference on Learning Representations (ICLR), 2023 Jian Xie Kai Zhang Jiangjie Chen Renze Lou Yu-Chuan Su RALM 597 238 0 22 May 2023
Automatic Evaluation of Attribution by Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Xiang Yue Boshi Wang Ziru Chen Kai Zhang Yu-Chuan Su Huan Sun ALM LRM HILM 220 74 0 10 May 2023