The pitfalls of next-token prediction

11 March 2024

Papers citing "The pitfalls of next-token prediction"

50 / 53 papers shown

Title
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions Dhruvesh Patel Aishwarya Sahoo Avinash Amballa Tahira Naseem Tim G. J. Rudner Andrew McCallum KELM 37 0 0 09 May 2025
Revisiting Data Auditing in Large Vision-Language Models Hongyu Zhu Sichu Liang W. Wang Boheng Li Tongxin Yuan Fangqi Li Shilin Wang Zhuosheng Zhang VLM 86 0 0 25 Apr 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction Vaishnavh Nagarajan Chen Henry Wu Charles Ding Aditi Raghunathan 28 0 0 21 Apr 2025
Looking beyond the next token Abitha Thankaraj Yiding Jiang J. Zico Kolter Yonatan Bisk LRM 46 1 0 15 Apr 2025
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition Rishi Hazra Gabriele Venturato Pedro Zuidberg Dos Martires Luc de Raedt ReLM LRM 58 0 0 04 Apr 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 47 0 0 25 Mar 2025
Efficient Joint Prediction of Multiple Future Tokens Kwangjun Ahn Alex Lamb John Langford 37 0 0 24 Mar 2025
Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More Arvid Frydenlund LRM 48 0 0 13 Mar 2025
Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye Zhenyu Wu Jiahui Gao Zhiyong Wu Xin Jiang Z. Li Lingpeng Kong DiffM 43 2 0 27 Feb 2025
The Belief State Transformer E. Hu Kwangjun Ahn Qinghua Liu Haoran Xu Manan Tomar Ada Langford Dinesh Jayaraman Alex Lamb John Langford 66 0 0 21 Feb 2025
Reasoning Bias of Next Token Prediction Training Pengxiao Lin Zhongwang Zhang Zhi-Qin John Xu LRM 80 1 0 21 Feb 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models Haoyang Li Xuejia Chen Zhanchao Xu Darian Li Nicole Hu ... Y. Li Luyu Qiu C. Zhang Qing Li Lei Chen LRM ELM 34 1 0 16 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Nayoung Lee Ziyang Cai Avi Schwarzschild Kangwook Lee Dimitris Papailiopoulos ReLM VLM LRM AI4CE 64 4 0 03 Feb 2025
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation Sukai Huang Trevor Cohn N. Lipovetzky LRM 73 1 0 14 Dec 2024
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Sohee Yang Nora Kassner E. Gribovskaya Sebastian Riedel Mor Geva KELM LRM ReLM 75 4 0 25 Nov 2024
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation Chenyang An Shima Imani Feng Yao Chengyu Dong Ali Abbasi ... Samuel Buss Jingbo Shang Gayathri Mahalingam Pramod Sharma Maurice Diesendruck LRM 26 1 0 30 Oct 2024
Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction Nicholas Walker 19 0 0 23 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 61 14 0 23 Oct 2024
Frontiers in Intelligent Colonoscopy Ge-Peng Ji Jingyi Liu Peng-Tao Xu Nick Barnes F. Khan Salman Khan Deng-Ping Fan 41 4 0 22 Oct 2024
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens Zhepeng Cen Yao Liu Siliang Zeng Pratik Chaudhar Huzefa Rangwala George Karypis Rasool Fakoor SyDa AIFin 16 3 0 18 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye Jiahui Gao Shansan Gong Lin Zheng Xin Jiang Z. Li Lingpeng Kong DiffM LRM 37 15 0 18 Oct 2024
The Mystery of the Pathological Path-star Task for Language Models Arvid Frydenlund LRM 14 3 0 17 Oct 2024
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation Guanhua Zhang Mohamed Ahmed Zhiming Hu Andreas Bulling AI4TS 16 1 0 10 Oct 2024
Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance Seungyong Moon Bumsoo Park Hyun Oh Song RALM AIFin 16 1 0 03 Oct 2024
Semformer: Transformer Language Models with Semantic Planning Yongjing Yin Junran Ding Kai Song Yue Zhang 31 3 0 17 Sep 2024
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles Kulin Shah Nishanth Dikkala Xin Wang Rina Panigrahy ELM ReLM LRM 21 9 0 16 Sep 2024
Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games Juhwan Choi Youngbin Kim 38 0 0 10 Sep 2024
Imitating Language via Scalable Inverse Reinforcement Learning Markus Wulfmeier Michael Bloesch Nino Vieillard Arun Ahuja Jorg Bornschein ... Jost Tobias Springenberg Nikola Momchev Olivier Bachem Matthieu Geist Martin Riedmiller 27 9 0 02 Sep 2024
How Susceptible are LLMs to Influence in Prompts? Sotiris Anagnostidis Jannis Bulian LRM 25 16 0 17 Aug 2024
Can Large Language Models Reason? A Characterization via 3-SAT Rishi Hazra Gabriele Venturato Pedro Zuidberg Dos Martires Luc de Raedt ELM ReLM LRM 19 4 0 13 Aug 2024
Mental Modeling of Reinforcement Learning Agents by Language Models Wenhao Lu Xufeng Zhao Josua Spisak Jae Hee Lee Stefan Wermter LLMAG LRM LM&Ro 22 2 0 26 Jun 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training Yixuan Wang Xianzhen Luo Fuxuan Wei Yijun Liu Qingfu Zhu Xuanyu Zhang Qing Yang Dongliang Xu Wanxiang Che 35 3 0 25 Jun 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold Amrith Rajagopal Setlur Saurabh Garg Xinyang Geng Naman Garg Virginia Smith Aviral Kumar 35 45 0 20 Jun 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning Akshay Paruchuri Jake Garrison Shun Liao John Hernandez Jacob Sunshine Tim Althoff Xin Liu Daniel J. McDuff LRM 21 7 0 18 Jun 2024
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction Yinda Chen Haoyuan Shi Xiaoyu Liu Te Shi Ruobing Zhang Dong Liu Zhiwei Xiong Feng Wu 34 5 0 27 May 2024
Transformers represent belief state geometry in their residual stream A. Shai Sarah E. Marzen Lucas Teixeira Alexander Gietelink Oldenziel P. Riechers AI4CE 16 10 0 24 May 2024
Reinforcing Language Agents via Policy Optimization with Action Decomposition Muning Wen Ziyu Wan Weinan Zhang Jun Wang Ying Wen 33 7 0 23 May 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Jun Zhao Jingqi Tong Yurong Mou Ming Zhang Qi Zhang Xuanjing Huang LRM 42 1 0 05 May 2024
State Space Model for New-Generation Network Alternative to Transformers: A Survey Xiao Wang Shiao Wang Yuhe Ding Yuehang Li Wentao Wu ... Bowei Jiang Chenglong Li Yaowei Wang Yonghong Tian Jin Tang Mamba 33 48 0 15 Apr 2024
Stream of Search (SoS): Learning to Search in Language Kanishk Gandhi Denise Lee Gabriel Grand Muxin Liu Winson Cheng Archit Sharma Noah D. Goodman RALM AIFin LRM 28 44 0 01 Apr 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling Mahdi Karami Ali Ghodsi VLM 23 6 0 28 Feb 2024
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning Jiasheng Ye Zaixiang Zheng Yu Bao Lihua Qian Quanquan Gu DiffM 46 14 0 23 Aug 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 201 283 0 03 May 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 153 186 0 02 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 203 2,232 0 22 Mar 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 208 2,413 0 06 Oct 2022
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 240 453 0 24 Sep 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
On the Paradox of Learning to Reason from Data Honghua Zhang Liunian Harold Li Tao Meng Kai-Wei Chang Guy Van den Broeck NAI ReLM OOD LRM 132 102 0 23 May 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 301 11,730 0 04 Mar 2022