Copertina

Timo: Towards Better Temporal Reasoning for Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Zhaochen, Zhang, Jun, Zhu, Tong, Qu, Xiaoye, Li, Juntao, Zhang, Min, Cheng, Yu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM
di: Su, Zhaochen, et al.
Pubblicazione: (2024)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
di: Su, Zhaochen, et al.
Pubblicazione: (2024)

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
di: Song, Mingyang, et al.
Pubblicazione: (2025)

XSkill: Continual Learning from Experience and Skills in Multimodal Agents
di: Jiang, Guanyu, et al.
Pubblicazione: (2026)

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
di: Fu, Tingchen, et al.
Pubblicazione: (2025)

CausalEval: Towards Better Causal Reasoning in Language Models
di: Yu, Longxuan, et al.
Pubblicazione: (2024)

Abstraction-of-Thought Makes Language Models Better Reasoners
di: Hong, Ruixin, et al.
Pubblicazione: (2024)

Learning to Self-Verify Makes Language Models Better Reasoners
di: Chen, Yuxin, et al.
Pubblicazione: (2026)

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
di: Chen, Shuang, et al.
Pubblicazione: (2025)

Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
di: Liang, Xiaobo, et al.
Pubblicazione: (2024)

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
di: Sun, Weigao, et al.
Pubblicazione: (2025)

Mixed Distillation Helps Smaller Language Model Better Reasoning
di: Li, Chenglin, et al.
Pubblicazione: (2023)

Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
di: Huang, Rikui, et al.
Pubblicazione: (2024)

Mitigating Multilingual Hallucination in Large Vision-Language Models
di: Qu, Xiaoye, et al.
Pubblicazione: (2024)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
di: Zhang, Jihai, et al.
Pubblicazione: (2024)

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
di: Lu, Zhenyi, et al.
Pubblicazione: (2024)

Learning to Reason under Off-Policy Guidance
di: Yan, Jianhao, et al.
Pubblicazione: (2025)

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
di: Huang, Shijue, et al.
Pubblicazione: (2025)

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
di: Zhao, Jun, et al.
Pubblicazione: (2024)

Towards Explainable Temporal Reasoning in Large Language Models: A Structure-Aware Generative Framework
di: Jiang, Zihao, et al.
Pubblicazione: (2025)

Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
di: Ding, Yuyang, et al.
Pubblicazione: (2024)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
di: Chen, Yanjun, et al.
Pubblicazione: (2024)

Document Intelligence in the Era of Large Language Models: A Survey
di: Wang, Weishi, et al.
Pubblicazione: (2025)

LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
di: Tang, Weizhi, et al.
Pubblicazione: (2024)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
di: Lee, Jooyoung, et al.
Pubblicazione: (2024)

Benchmarking Chinese Commonsense Reasoning with a Multi-hop Reasoning Perspective
di: You, Wangjie, et al.
Pubblicazione: (2025)

Calibrating Reasoning in Language Models with Internal Consistency
di: Xie, Zhihui, et al.
Pubblicazione: (2024)

Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
di: Zhang, Zixuan, et al.
Pubblicazione: (2024)

ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates
di: Yang, Ling, et al.
Pubblicazione: (2025)

MemReread: Enhancing Agentic Long-Context Reasoning via Memory-Guided Rereading
di: Ji, Baibei, et al.
Pubblicazione: (2026)

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
di: Zhan, Zaifu, et al.
Pubblicazione: (2024)

Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
di: Wang, Teng, et al.
Pubblicazione: (2025)

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
di: Li, Guozheng, et al.
Pubblicazione: (2024)

ExGRPO: Learning to Reason from Experience
di: Zhan, Runzhe, et al.
Pubblicazione: (2025)

Active Confusion Expression in Large Language Models: Leveraging World Models toward Better Social Reasoning
di: Du, Jialu, et al.
Pubblicazione: (2025)

LOGO -- Long cOntext aliGnment via efficient preference Optimization
di: Tang, Zecheng, et al.
Pubblicazione: (2024)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
di: Xu, Fengli, et al.
Pubblicazione: (2025)

Language Model Distillation: A Temporal Difference Imitation Learning Perspective
di: Yu, Zishun, et al.
Pubblicazione: (2025)

MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
di: Tang, Zecheng, et al.
Pubblicazione: (2026)