Poster "reasoning tasks" Papers
15 papers found
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang et al.
ICLR 2025posterarXiv:2404.02078
179
citations
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
NeurIPS 2025posterarXiv:2511.01190
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
NeurIPS 2025posterarXiv:2511.07396
Enhancing Language Model Agents using Diversity of Thoughts
Vijay Chandra Lingam, Behrooz Tehrani, sujay sanghavi et al.
ICLR 2025poster
Fast attention mechanisms: a tale of parallelism
Jingwen Liu, Hantao Yu, Clayton Sanford et al.
NeurIPS 2025posterarXiv:2509.09001
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
Yuanyi Wang, Zhaoyi Yan, Yiming Zhang et al.
NeurIPS 2025posterarXiv:2505.13893
2
citations
Multipole Attention for Efficient Long Context Reasoning
Coleman Hooper, Sebastian Zhao, Luca Manolache et al.
NeurIPS 2025posterarXiv:2506.13059
3
citations
PID-controlled Langevin Dynamics for Faster Sampling on Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding et al.
NeurIPS 2025posterarXiv:2511.12603
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
Xinyu Zhu, Mengzhou Xia, Zhepei Wei et al.
NeurIPS 2025posterarXiv:2506.01347
74
citations
ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning
Shulin Huang, Linyi Yang, Yan Song et al.
NeurIPS 2025posterarXiv:2502.16268
14
citations
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo, Kaiyan Zhang, Li Sheng et al.
NeurIPS 2025posterarXiv:2504.16084
122
citations
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto
ICML 2024poster
Premise Order Matters in Reasoning with Large Language Models
Xinyun Chen, Ryan Chi, Xuezhi Wang et al.
ICML 2024poster
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
ICML 2024poster
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
Zhiheng Xi, Wenxiang Chen, Boyang Hong et al.
ICML 2024poster