Cover Image

DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Yue, Li, Jichu, Liu, Yang, Yang, Dingkang, Zhou, Feng, Kong, Quyu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-range Modeling and Processing of Multimodal Event Sequences
by: Li, Jichu, et al.
Published: (2026)

Byte-token Enhanced Language Models for Temporal Point Processes Analysis
by: Kong, Quyu, et al.
Published: (2025)

Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
by: Zhou, Feng, et al.
Published: (2025)

TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
by: Gong, Shukai, et al.
Published: (2025)

AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining
by: Dong, Hongyuan, et al.
Published: (2025)

TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
by: Liu, Zefang, et al.
Published: (2024)

Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
by: Zhang, Yixuan, et al.
Published: (2025)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
by: Cai, Mu, et al.
Published: (2024)

Fair Bayesian Data Selection via Generalized Discrepancy Measures
by: Zhang, Yixuan, et al.
Published: (2025)

Neuro-Symbolic Temporal Point Processes
by: Yang, Yang, et al.
Published: (2024)

A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior
by: Re, Francesco Ignazio, et al.
Published: (2025)

Temporal Consistency for LLM Reasoning Process Error Identification
by: Guo, Jiacheng, et al.
Published: (2025)

How Can Large Language Models Understand Spatial-Temporal Data?
by: Liu, Lei, et al.
Published: (2024)

EasyTPP: Towards Open Benchmarking Temporal Point Processes
by: Xue, Siqiao, et al.
Published: (2023)

Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)

Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
by: Meng, Zizhuo, et al.
Published: (2024)

Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
by: Li, Yufei, et al.
Published: (2024)

NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)

Proxy Compression for Language Modeling
by: Zheng, Lin, et al.
Published: (2026)

Benchmarking and Understanding Compositional Relational Reasoning of LLMs
by: Ni, Ruikang, et al.
Published: (2024)

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation
by: Li, Jie, et al.
Published: (2025)

LLaVA-Chef: A Multi-modal Generative Model for Food Recipes
by: Mohbat, Fnu, et al.
Published: (2024)

The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
by: Li, Jichu, et al.
Published: (2026)

Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
by: Tang, Yiwen, et al.
Published: (2024)

Customize Multi-modal RAI Guardrails with Precedent-based predictions
by: Yang, Cheng-Fu, et al.
Published: (2025)

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
by: Liu, Shengchao, et al.
Published: (2022)

Beyond Benchmarks: Understanding Mixture-of-Experts Models through Internal Mechanisms
by: Ying, Jiahao, et al.
Published: (2025)

TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models
by: Mo, Yichuan, et al.
Published: (2026)

Interactive Benchmarks
by: Yue, Baoqing, et al.
Published: (2026)

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
by: Xing, Junjie, et al.
Published: (2025)

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
by: Zhu, Minjun, et al.
Published: (2025)

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
by: Liu, Pengfei, et al.
Published: (2023)

ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events
by: Islakoglu, Duygu Sezen, et al.
Published: (2025)

Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark for Language Models
by: Liu, Yang, et al.
Published: (2024)

TDBench: A Benchmark for Top-Down Image Understanding with Reliability Analysis of Vision-Language Models
by: Hou, Kaiyuan, et al.
Published: (2025)

Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning
by: Fei, Wu, et al.
Published: (2025)

Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
by: Li, Ming, et al.
Published: (2025)

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

UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
by: Tian, Jinchuan, et al.
Published: (2025)