Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

25 September 2023

Papers citing "Physics of Language Models: Part 3.1, Knowledge Storage and Extraction"

41 / 41 papers shown

Title
Memorization-Compression Cycles Improve Generalization Fangyuan Yu 39 0 0 13 May 2025
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models Xuhui Jiang Shengjie Ma Chengjin Xu Cehao Yang Liyu Zhang Jian Guo SyDa 30 0 0 02 May 2025
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii Kola Ayonrinde Louis Jaburi XAI 85 1 0 02 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study Andrew Kyle Lampinen Arslan Chaudhry Stephanie Chan Cody Wild Diane Wan Alex Ku Jorg Bornschein Razvan Pascanu Murray Shanahan James L. McClelland 46 0 0 01 May 2025
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search Fei Liu Qingfu Zhang Xialiang Tong M. Yuan K. Mao 74 0 0 28 Apr 2025
Large Language Models Could Be Rote Learners Yuyang Xu Renjun Hu Haochao Ying Jian Wu Xing Shi Wei Lin ELM 178 0 0 11 Apr 2025
Not All Data Are Unlearned Equally Aravind Krishnan Siva Reddy Marius Mosbach MU 166 1 0 07 Apr 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More Arvid Frydenlund LRM 52 0 0 13 Mar 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing Juntai Cao Xiang Zhang Raymond Li Chuyuan Li Chenyu You Shafiq Joty Giuseppe Carenini 59 1 0 27 Feb 2025
Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions Yizhe Zhang Richard He Bai Zijin Gu Ruixiang Zhang Jiatao Gu Emmanuel Abbe Samy Bengio Navdeep Jaitly LRM BDL 70 1 0 25 Feb 2025
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home Viktor Moskvoretskii M. Lysyuk Mikhail Salnikov Nikolay Ivanov Sergey Pletenev Daria Galimzianova Nikita Krayko Vasily Konovalov Irina Nikishina Alexander Panchenko RALM 76 4 0 24 Feb 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 83 4 0 10 Feb 2025
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Tianzhe Chu Yuexiang Zhai Jihan Yang Shengbang Tong Saining Xie Dale Schuurmans Quoc V. Le Sergey Levine Yi Ma OffRL 70 60 0 28 Jan 2025
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation Hamed Firooz Maziar Sanjabi Adrian Englhardt Aman Gupta Ben Levine ... Xiaoling Zhai Ya Xu Yu Wang Yun Dai Yun Dai ALM 47 3 0 27 Jan 2025
Key-value memory in the brain Samuel J. Gershman Ila Fiete Kazuki Irie 34 7 0 06 Jan 2025
Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension Yanbo Fang Ruixiang Tang ELM 38 0 0 03 Jan 2025
ICLR: In-Context Learning of Representations Core Francisco Park Andrew Lee Ekdeep Singh Lubana Yongyi Yang Maya Okawa Kento Nishi Martin Wattenberg Hidenori Tanaka AIFin 120 3 0 29 Dec 2024
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass Tong Chen Hao Fang Patrick Xia Xiaodong Liu Benjamin Van Durme Luke Zettlemoyer Jianfeng Gao Hao Cheng KELM 53 2 0 08 Nov 2024
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models Siming Huang Tianhao Cheng J.K. Liu Jiaran Hao L. Song ... Ge Zhang Zili Wang Yuan Qi Yinghui Xu Wei Chu ALM 83 17 0 07 Nov 2024
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang Sung Ju Hwang Gibbeum Lee Jaewoong Cho KELM 43 0 0 01 Nov 2024
Mixture of Parrots: Experts improve memorization more than reasoning Samy Jelassi Clara Mohri David Brandfonbrener Alex Gu Nikhil Vyas Nikhil Anand David Alvarez-Melis Yuanzhi Li Sham Kakade Eran Malach MoE 33 4 0 24 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 70 5 0 22 Oct 2024
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 39 16 0 21 Oct 2024
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 42 1 0 21 Oct 2024
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models Sitao Cheng Liangming Pan Xunjian Yin Xinyi Wang William Yang Wang KELM 39 4 0 10 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 48 1 0 04 Oct 2024
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition Jiyeon Kim Hyunji Lee Hyowon Cho Joel Jang Hyeonbin Hwang Seungpil Won Youbin Ahn Dohaeng Lee Minjoon Seo KELM 125 3 0 02 Oct 2024
Enhancing elusive clues in knowledge learning by contrasting attention of language models Jian Gao Xiao Zhang Ji Wu Miao Li 43 0 0 26 Sep 2024
Co-occurrence is not Factual Association in Language Models Xiao Zhang Miao Li Ji Wu KELM 68 2 0 21 Sep 2024
Empirical Capacity Model for Self-Attention Neural Networks Aki Härmä M. Pietrasik Anna Wilbik 42 1 0 22 Jul 2024
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates Zeyu Leo Liu Shrey Pandit Xi Ye Eunsol Choi Greg Durrett KELM ALM 81 4 0 08 Jul 2024
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
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching Xiaoying Zhang Baolin Peng Ye Tian Jingyan Zhou Yipeng Zhang Haitao Mi Helen Meng CLL KELM 81 5 0 10 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize Tianren Zhang Chujie Zhao Guanyu Chen Yizhou Jiang Feng Chen OOD MLT OODD 77 3 0 05 Jun 2024
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-jin Liu Ruiming Tang KELM 41 4 0 29 May 2024
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models Yuheng Chen Pengfei Cao Yubo Chen Yining Wang Shengping Liu Kang Liu Jun Zhao KELM 37 1 0 21 Feb 2024
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction Kuniaki Saito Kihyuk Sohn Chen-Yu Lee Yoshitaka Ushiku 64 2 0 16 Feb 2024
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks Rahul Ramesh Ekdeep Singh Lubana Mikail Khona Robert P. Dick Hidenori Tanaka CoGe 39 7 0 21 Nov 2023
Physics of Language Models: Part 1, Learning Hierarchical Language Structures Zeyuan Allen-Zhu Yuanzhi Li 35 16 0 23 May 2023
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 419 2,588 0 03 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 201 882 0 03 May 2018