Image de couverture de livre

Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xue, Xin, Zhou, Haoyi, Chen, Tianyu, Zhang, Shuai, Long, Yizhou, Li, Jianxin
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
par: Dong, Pusen, et autres
Publié: (2024)

Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study
par: Kim, Kon Woo, et autres
Publié: (2025)

THOUGHTSCULPT: Reasoning with Intermediate Revision and Search
par: Chi, Yizhou, et autres
Publié: (2024)

VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
par: Jia, Yiming, et autres
Publié: (2025)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
par: Xu, Benfeng, et autres
Publié: (2023)

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
par: Liu, Wanlong, et autres
Publié: (2024)

Improving Instruct Models for Free: A Study on Partial Adaptation
par: İrsoy, Ozan, et autres
Publié: (2025)

Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM
par: Gu, Qingshui, et autres
Publié: (2025)

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models
par: Li, Jijie, et autres
Publié: (2025)

Safer-Instruct: Aligning Language Models with Automated Preference Data
par: Shi, Taiwei, et autres
Publié: (2023)

LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models
par: Ren, Huimin, et autres
Publié: (2025)

Reinforced Context Order Recovery for Adaptive Reasoning and Planning
par: Ma, Long, et autres
Publié: (2025)

SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
par: Wang, Quandong, et autres
Publié: (2024)

Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations
par: Liu, Zijie, et autres
Publié: (2025)

Enhancing LLM Reasoning with Reward-guided Tree Search
par: Jiang, Jinhao, et autres
Publié: (2024)

Instruct-Imagen: Image Generation with Multi-modal Instruction
par: Hu, Hexiang, et autres
Publié: (2024)

LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
par: Hu, Yuxuan, et autres
Publié: (2025)

CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs
par: Wu, Chengwei, et autres
Publié: (2025)

Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
par: Cui, Wanyun, et autres
Publié: (2023)

Compressing Sequences in the Latent Embedding Space: $K$-Token Merging for Large Language Models
par: Xu, Zihao, et autres
Publié: (2026)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
par: Yu, Erxin, et autres
Publié: (2025)

Learning to Instruct for Visual Instruction Tuning
par: Zhou, Zhihan, et autres
Publié: (2025)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
par: Muñoz, J. Pablo, et autres
Publié: (2025)

Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey
par: Guan, Shengyue, et autres
Publié: (2025)

Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
par: Wang, Jian, et autres
Publié: (2024)

Shadow-FT: Tuning Instruct Model via Training on Paired Base Model
par: Wu, Taiqiang, et autres
Publié: (2025)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
par: Chen, Kedi, et autres
Publié: (2024)

Scaling Towards the Information Boundary of Instruction Sets: The Infinity Instruct Subject Technical Report
par: Du, Li, et autres
Publié: (2025)

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
par: Luo, Zihan, et autres
Publié: (2024)

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
par: He, Bowei, et autres
Publié: (2026)

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
par: Chen, Mingyang, et autres
Publié: (2025)

EvoP: Robust LLM Inference via Evolutionary Pruning
par: Wu, Shangyu, et autres
Publié: (2025)

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
par: Zhou, Jiayi, et autres
Publié: (2024)

Magicoder: Empowering Code Generation with OSS-Instruct
par: Wei, Yuxiang, et autres
Publié: (2023)

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence
par: Liu, Jie, et autres
Publié: (2024)

Spatial Metaphors for LLM Memory: A Critical Analysis of the MemPalace Architecture
par: Dey, Robin, et autres
Publié: (2026)

ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
par: Guo, Wenbin, et autres
Publié: (2023)

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition
par: Wu, Mengsong, et autres
Publié: (2025)

Multi-LLM Collaborative Search for Complex Problem Solving
par: Yang, Sen, et autres
Publié: (2025)

Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
par: Li, Siyuan, et autres
Publié: (2026)