Image de couverture de livre

TRAM: Benchmarking Temporal Reasoning for Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yuqing, Zhao, Yun
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models
par: Wang, Yuqing, et autres
Publié: (2024)

Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
par: Wang, Yuqing, et autres
Publié: (2023)

Metacognitive Prompting Improves Understanding in Large Language Models
par: Wang, Yuqing, et autres
Publié: (2023)

SportQA: A Benchmark for Sports Understanding in Large Language Models
par: Xia, Haotian, et autres
Publié: (2024)

LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
par: Tang, Weizhi, et autres
Publié: (2024)

BaziQA-Benchmark: Evaluating Symbolic and Temporally Compositional Reasoning in Large Language Models
par: Chen, Jiangxi, et autres
Publié: (2026)

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models
par: Xu, Zixiang, et autres
Publié: (2025)

Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models
par: Xing, Wang, et autres
Publié: (2026)

Large Language Models Can Learn Temporal Reasoning
par: Xiong, Siheng, et autres
Publié: (2024)

AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models
par: Deng, Yimin, et autres
Publié: (2026)

ReliableMath: Benchmark of Reliable Mathematical Reasoning on Large Language Models
par: Xue, Boyang, et autres
Publié: (2025)

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction
par: Kruse, Maya, et autres
Publié: (2025)

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
par: Sun, Haoxiang, et autres
Publié: (2025)

Ebisu: Benchmarking Large Language Models in Japanese Finance
par: Peng, Xueqing, et autres
Publié: (2026)

BeHonest: Benchmarking Honesty in Large Language Models
par: Chern, Steffi, et autres
Publié: (2024)

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models
par: Chen, Nan, et autres
Publié: (2024)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
par: Lee, Donggyu, et autres
Publié: (2025)

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
par: Wang, Yuqing, et autres
Publié: (2024)

TRAM: Bridging Trust Regions and Sharpness Aware Minimization
par: Sherborne, Tom, et autres
Publié: (2023)

Benchmarking Large Language Models for Math Reasoning Tasks
par: Seßler, Kathrin, et autres
Publié: (2024)

What Really Controls Temporal Reasoning in Large Language Models: Tokenisation or Representation of Time?
par: Bhatia, Gagan, et autres
Publié: (2026)

MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language Models
par: Cai, Yuanqing, et autres
Publié: (2026)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
par: Su, Zhaochen, et autres
Publié: (2024)

MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning
par: Tan, Xingyu, et autres
Publié: (2025)

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
par: Zhang, Zhihan, et autres
Publié: (2024)

CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
par: Xu, Xinzhe, et autres
Publié: (2025)

LongReasonArena: A Long Reasoning Benchmark for Large Language Models
par: Ding, Jiayu, et autres
Publié: (2025)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges
par: Yan, Yibo, et autres
Publié: (2024)

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
par: Wang, Jiayin, et autres
Publié: (2024)

Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties
par: Wang, Zhenglin, et autres
Publié: (2025)

When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
par: Jiang, Xunyi, et autres
Publié: (2025)

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
par: Wang, Yuxuan, et autres
Publié: (2024)

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning
par: Baek, Shaun, et autres
Publié: (2025)

D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
par: Krishna, Satyapriya, et autres
Publié: (2025)

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
par: Zhu, Yakun, et autres
Publié: (2025)

DateLogicQA: Benchmarking Temporal Biases in Large Language Models
par: Bhatia, Gagan, et autres
Publié: (2024)

Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
par: Wang, Jiapu, et autres
Publié: (2024)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
par: Liang, Feng, et autres
Publié: (2025)

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory
par: Zhou, Hongli, et autres
Publié: (2025)

Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
par: Li, Xingxuan, et autres
Publié: (2023)