Cover Image

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hettige, Kethmi Hirushini, Ji, Jiahao, Long, Cheng, Xiang, Shili, Cong, Gao, Wang, Jingyuan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
by: Hettige, Kethmi Hirushini, et al.
Published: (2024)

Reasoning LLMs are Wandering Solution Explorers
by: Lu, Jiahao, et al.
Published: (2025)

An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
by: Hao, Yuren, et al.
Published: (2025)

Advancing General-Purpose Reasoning Models with Modular Gradient Surgery
by: Cai, Min, et al.
Published: (2026)

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
by: Lu, Zhenyi, et al.
Published: (2024)

Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
by: Jan, Essa, et al.
Published: (2024)

MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
by: Xi, Ningyuan, et al.
Published: (2024)

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
by: Cui, Hao, et al.
Published: (2025)

Configurable Foundation Models: Building LLMs from a Modular Perspective
by: Xiao, Chaojun, et al.
Published: (2024)

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs
by: Zhao, Guojiang, et al.
Published: (2025)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)

Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025)

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
by: Xu, Zhuoyan, et al.
Published: (2024)

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning
by: Zhou, Qinhao, et al.
Published: (2024)

Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs
by: Liu, Jiahao, et al.
Published: (2025)

An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
by: Chen, Zui, et al.
Published: (2024)

MoBayes: A Modular Bayesian Framework for Separating Reasoning from Language in Conversational Clinical Decision Support
by: Kesmen, Yusuf, et al.
Published: (2026)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
by: Liang, Feng, et al.
Published: (2025)

Towards Effective Code-Integrated Reasoning
by: Bai, Fei, et al.
Published: (2025)

NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
by: Liu, Shuai, et al.
Published: (2024)

Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
by: Huang, Kaixuan, et al.
Published: (2025)

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
by: Chen, Junying, et al.
Published: (2024)

A Decomposition Perspective to Long-context Reasoning for LLMs
by: Xiao, Yanling, et al.
Published: (2026)

Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling
by: Hao, Bingguang, et al.
Published: (2025)

ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
by: Qian, Cheng, et al.
Published: (2025)

A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
by: Gao, Xin, et al.
Published: (2025)

Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
by: Guo, Zhenyu, et al.
Published: (2025)

Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
by: Gangwar, Neeraj, et al.
Published: (2025)

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
by: Chen, Changyu, et al.
Published: (2024)

ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
by: Yin, Junjie, et al.
Published: (2023)

Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024)

RM-R1: Reward Modeling as Reasoning
by: Chen, Xiusi, et al.
Published: (2025)

When Models Know More Than They Say: Probing Analogical Reasoning in LLMs
by: McGovern, Hope, et al.
Published: (2026)

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization
by: Kawakami, Wataru, et al.
Published: (2025)

Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
by: Peng, Miao, et al.
Published: (2025)

$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction
by: Du, Zhenbang, et al.
Published: (2026)

Prompt Repetition Improves Non-Reasoning LLMs
by: Leviathan, Yaniv, et al.
Published: (2025)