Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?

19 April 2024

Papers citing "Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?"

50 / 56 papers shown

Title
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL Yingzhe Peng Gongrui Zhang Miaosen Zhang Zhiyuan You Jie Liu Qipeng Zhu Kai Yang Xingzhong Xu Xin Geng Xu Yang LRM ReLM 134 52 0 10 Mar 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Chong Chen Anirudh Dagar Wenming Ye LRM 121 48 0 31 Dec 2024
Gemma: Open Models Based on Gemini Research and Technology Gemma Team Gemma Team Thomas Mesnard Cassidy Hardin Robert Dadashi Surya Bhupatiraju ... Armand Joulin Noah Fiedel Evan Senter Alek Andreev Kathleen Kenealy VLM LLMAG 165 460 0 13 Mar 2024
GPQA: A Graduate-Level Google-Proof Q&A Benchmark David Rein Betty Li Hou Asa Cooper Stickland Jackson Petty Richard Yuanzhe Pang Julien Dirani Julian Michael Samuel R. Bowman AI4MH ELM 66 627 0 20 Nov 2023
Auto-ICL: In-Context Learning without Human Supervision Jinghan Yang Shuming Ma Furu Wei 44 10 0 15 Nov 2023
A General Theoretical Paradigm to Understand Learning from Human Preferences M. G. Azar Mark Rowland Bilal Piot Daniel Guo Daniele Calandriello Michal Valko Rémi Munos 112 597 0 18 Oct 2023
Large Language Models as Analogical Reasoners Michihiro Yasunaga Xinyun Chen Yujia Li Panupong Pasupat J. Leskovec Percy Liang Ed H. Chi Denny Zhou ReLM LRM 51 80 0 03 Oct 2023
Statistical Rejection Sampling Improves Preference Optimization Tianqi Liu Yao-Min Zhao Rishabh Joshi Misha Khalman Mohammad Saleh Peter J. Liu Jialu Liu 88 233 0 13 Sep 2023
Efficient Memory Management for Large Language Model Serving with PagedAttention Woosuk Kwon Zhuohan Li Siyuan Zhuang Ying Sheng Lianmin Zheng Cody Hao Yu Joseph E. Gonzalez Haotong Zhang Ion Stoica VLM 115 2,049 0 12 Sep 2023
Textbooks Are All You Need II: phi-1.5 technical report Yuan-Fang Li Sébastien Bubeck Ronen Eldan Allison Del Giorno Suriya Gunasekar Yin Tat Lee ALM LRM 87 459 0 11 Sep 2023
In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen Y. Gal Tom Rainforth 89 34 0 23 Jul 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 206 11,636 0 18 Jul 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 282 3,712 0 29 May 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations Wei-Lin Chen Cheng-Kuang Wu Yun-Nung Chen Hsin-Hsi Chen 41 30 0 24 May 2023
LIMA: Less Is More for Alignment Chunting Zhou Pengfei Liu Puxin Xu Srini Iyer Jiao Sun ... Susan Zhang Gargi Ghosh M. Lewis Luke Zettlemoyer Omer Levy ALM 71 819 0 18 May 2023
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning Jane Pan Tianyu Gao Howard Chen Danqi Chen 52 116 0 16 May 2023
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework Ruochen Zhao Xingxuan Li Shafiq Joty Chengwei Qin Lidong Bing LRM KELM 34 161 0 05 May 2023
RRHF: Rank Responses to Align Language Models with Human Feedback without tears Zheng Yuan Hongyi Yuan Chuanqi Tan Wei Wang Songfang Huang Feiran Huang ALM 80 358 0 11 Apr 2023
Reflexion: Language Agents with Verbal Reinforcement Learning Noah Shinn Federico Cassano Beck Labash A. Gopinath Karthik Narasimhan Shunyu Yao LLMAG KELM 37 1,190 0 20 Mar 2023
Larger language models do in-context learning differently Jerry W. Wei Jason W. Wei Yi Tay Dustin Tran Albert Webson ... Xinyun Chen Hanxiao Liu Da Huang Denny Zhou Tengyu Ma ReLM LRM 73 364 0 07 Mar 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 815 12,840 0 27 Feb 2023
Finding Support Examples for In-Context Learning Xiaonan Li Xipeng Qiu 65 95 0 27 Feb 2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? Chengwei Qin Aston Zhang Zhuosheng Zhang Jiaao Chen Michihiro Yasunaga Diyi Yang LM&MA AI4MH LRM ELM 122 689 0 08 Feb 2023
Specializing Smaller Language Models towards Multi-Step Reasoning Yao Fu Hao-Chun Peng Litu Ou Ashish Sabharwal Tushar Khot ReLM LRM 56 255 0 30 Jan 2023
Large Language Models Are Reasoning Teachers Namgyu Ho Laura Schmid Se-Young Yun ReLM ELM LRM 73 339 0 20 Dec 2022
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters Boshi Wang Sewon Min Xiang Deng Jiaming Shen You Wu Luke Zettlemoyer Huan Sun LRM ReLM 53 231 0 20 Dec 2022
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations Xinxi Lyu Sewon Min Iz Beltagy Luke Zettlemoyer Hannaneh Hajishirzi VLM 27 68 0 19 Dec 2022
Teaching Small Language Models to Reason Lucie Charlotte Magister Jonathan Mallinson Jakub Adamek Eric Malmi Aliaksei Severyn LRM AI4CE ReLM 141 258 0 16 Dec 2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Wenhu Chen Xueguang Ma Xinyi Wang William W. Cohen ReLM ReCod LRM 127 774 0 22 Nov 2022
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 146 3,072 0 20 Oct 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Mirac Suzgun Nathan Scales Nathanael Scharli Sebastian Gehrmann Yi Tay ... Aakanksha Chowdhery Quoc V. Le Ed H. Chi Denny Zhou Jason W. Wei ALM ELM LRM ReLM 157 1,068 0 17 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks Tushar Khot H. Trivedi Matthew Finlayson Yao Fu Kyle Richardson Peter Clark Ashish Sabharwal ReLM LRM 89 437 0 05 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 180 420 0 03 Oct 2022
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning Pan Lu Liang Qiu Kai-Wei Chang Ying Nian Wu Song-Chun Zhu Tanmay Rajpurohit Peter Clark Ashwin Kalyan ReLM LRM 108 285 0 29 Sep 2022
Rationale-Augmented Ensembles in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Denny Zhou ReLM LRM 60 126 0 02 Jul 2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator Sungmin Cho Hyunsoo Cho Junyeob Kim Taeuk Kim Kang Min Yoo Sang-goo Lee 55 63 0 16 Jun 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations Kang Min Yoo Junyeob Kim Sungmin Cho Hyunsoo Cho Hwiyeol Jo Sang-Woo Lee Sang-goo Lee Taeuk Kim 54 125 0 25 May 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 416 4,077 0 24 May 2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models Denny Zhou Nathanael Scharli Le Hou Jason W. Wei Nathan Scales ... Dale Schuurmans Claire Cui Olivier Bousquet Quoc Le Ed H. Chi RALM LRM AI4CE 50 1,085 0 21 May 2022
UL2: Unifying Language Learning Paradigms Yi Tay Mostafa Dehghani Vinh Q. Tran Xavier Garcia Jason W. Wei ... Tal Schuster H. Zheng Denny Zhou N. Houlsby Donald Metzler AI4CE 95 305 0 10 May 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 335 6,132 0 05 Apr 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 473 3,486 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 694 12,525 0 04 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 120 1,438 0 25 Feb 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Shaden Smith M. Patwary Brandon Norick P. LeGresley Samyam Rajbhandari ... Mohammad Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 135 737 0 28 Jan 2022
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Jack W. Rae Sebastian Borgeaud Trevor Cai Katie Millican Jordan Hoffmann ... Jeff Stanway L. Bennett Demis Hassabis Koray Kavukcuoglu G. Irving 66 1,303 0 08 Dec 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 191 4,175 0 27 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 304 1,679 0 15 Oct 2021
Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 64 3,678 0 03 Sep 2021
Program Synthesis with Large Language Models Jacob Austin Augustus Odena Maxwell Nye Maarten Bosma Henryk Michalewski ... Ellen Jiang Carrie J. Cai Michael Terry Quoc V. Le Charles Sutton ELM AIMat ReCod ALM 90 1,893 0 16 Aug 2021