Image de couverture de livre

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Zijia, Han, Peixuan, Yu, Haofei, Li, Haoru, You, Jiaxuan
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
par: Zhang, Haozhen, et autres
Publié: (2025)

Table as Thought: Exploring Structured Thoughts in LLM Reasoning
par: Sun, Zhenjie, et autres
Publié: (2025)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
par: DeepSeek-AI, et autres
Publié: (2025)

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
par: Han, Pengrui, et autres
Publié: (2024)

Beyond Facts: Evaluating Intent Hallucination in Large Language Models
par: Hao, Yijie, et autres
Publié: (2025)

ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities
par: Hong, Zhaochen, et autres
Publié: (2025)

AcademicEval: Live Long-Context LLM Benchmark
par: Zhang, Haozhen, et autres
Publié: (2025)

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
par: Chen, Junying, et autres
Publié: (2024)

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
par: Zhang, Xichen, et autres
Publié: (2025)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
par: Zhao, Guojiang, et autres
Publié: (2025)

SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration
par: Zhang, Xichen, et autres
Publié: (2025)

Parallel Test-Time Scaling for Latent Reasoning Models
par: You, Runyang, et autres
Publié: (2025)

Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
par: Han, Yixuan, et autres
Publié: (2025)

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
par: Zhang, Haozhen, et autres
Publié: (2024)

On Designing Effective RL Reward at Training Time for LLM Reasoning
par: Gao, Jiaxuan, et autres
Publié: (2024)

RM-R1: Reward Modeling as Reasoning
par: Chen, Xiusi, et autres
Publié: (2025)

How Far Are We From AGI: Are LLMs All We Need?
par: Feng, Tao, et autres
Publié: (2024)

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
par: Han, Pengrui, et autres
Publié: (2026)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
par: Yu, Yue, et autres
Publié: (2024)

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
par: Kang, Haoqiang, et autres
Publié: (2025)

Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
par: Bazaga, Adrián, et autres
Publié: (2025)

GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
par: Liao, Xutao, et autres
Publié: (2024)

Reverse Thinking Makes LLMs Stronger Reasoners
par: Chen, Justin Chih-Yao, et autres
Publié: (2024)

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents
par: Qian, Cheng, et autres
Publié: (2024)

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
par: Yue, Murong, et autres
Publié: (2024)

Towards Scalable Automated Alignment of LLMs: A Survey
par: Cao, Boxi, et autres
Publié: (2024)

Certifying Knowledge Comprehension in LLMs
par: Chaudhary, Isha, et autres
Publié: (2024)

Towards a Comprehensive Scaling Law of Mixture-of-Experts
par: Zhao, Guoliang, et autres
Publié: (2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
par: Liu, Qianchu, et autres
Publié: (2025)

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
par: Peng, Miao, et autres
Publié: (2025)

R-Zero: Self-Evolving Reasoning LLM from Zero Data
par: Huang, Chengsong, et autres
Publié: (2025)

LiveTradeBench: Seeking Real-World Alpha with Large Language Models
par: Yu, Haofei, et autres
Publié: (2025)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
par: Chen, Zui, et autres
Publié: (2024)

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
par: Liu, Yixin, et autres
Publié: (2026)

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
par: Li, Hongji, et autres
Publié: (2025)

Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
par: Gong, Zhaoyan, et autres
Publié: (2026)

Memorization vs. Reasoning: Updating LLMs with New Knowledge
par: Li, Aochong Oliver, et autres
Publié: (2025)

Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
par: Deng, Wenhao, et autres
Publié: (2025)

Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs
par: Zhang, Yifei, et autres
Publié: (2024)

A Decomposition Perspective to Long-context Reasoning for LLMs
par: Xiao, Yanling, et autres
Publié: (2026)