Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers

26 November 2024

Papers citing "Inference Scaling fLaws: The Limits of LLM Resampling with Imperfect Verifiers"

8 / 8 papers shown

Title
Parallel Scaling Law for Language Models Mouxiang Chen Binyuan Hui Zeyu Cui Jiaxi Yang Dayiheng Liu Jianling Sun Junyang Lin Zhongxin Liu MoE LRM 42 0 0 15 May 2025
Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving Qi Liu Xinhao Zheng Renqiu Xia Xingzhi Qi Qinxiang Cao Junchi Yan AIMat 57 0 0 07 May 2025
Why Do Multi-Agent LLM Systems Fail? Mert Cemri Melissa Z. Pan Shuyi Yang Lakshya A Agrawal Bhavya Chopra ... Dan Klein Kannan Ramchandran Matei A. Zaharia Joseph E. Gonzalez Ion Stoica LLMAG Presented at ResearchTrend Connect \| LLMAG on 23 Apr 2025 135 11 0 17 Mar 2025
Better Process Supervision with Bi-directional Rewarding Signals Wenxiang Chen Wei He Zhiheng Xi Honglin Guo Boyang Hong ... Nijun Li Tao Gui Yun Li Qi Zhang Xuanjing Huang LRM 62 3 0 06 Mar 2025
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing Juntai Cao Xiang Zhang Raymond Li Chuyuan Li Shafiq Joty Shafiq Joty Giuseppe Carenini 64 1 0 27 Feb 2025
Beyond Release: Access Considerations for Generative AI Systems Irene Solaiman Rishi Bommasani Dan Hendrycks Ariel Herbert-Voss Yacine Jernite Aviya Skowron Andrew Trask 77 1 0 23 Feb 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning Yu Guang Wang Nan Yang Liang Wang Furu Wei LRM 69 3 0 10 Feb 2025
Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach Atharva Gundawar Karthik Valmeekam Mudit Verma S. Kambhampati 80 4 0 20 Nov 2024