:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qiu, Xin, Tong, Junlong, Sun, Yirong, Ma, Yunpu, Zhang, Wei, Shen, Xiaoyu
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2602.14744
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models
by: Qiu, Xin, et al.
Published: (2025)

StreamingThinker: Large Language Models Can Think While Reading
by: Tong, Junlong, et al.
Published: (2025)

HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit
by: Wu, Hao, et al.
Published: (2026)

Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
by: Zhang, Jialiang, et al.
Published: (2026)

UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
by: Wu, Hao, et al.
Published: (2026)

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention
by: Liu, Wenjie, et al.
Published: (2026)

Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2026)

$\mathcal{V}isi\mathcal{P}runer$: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs
by: Fan, Yingqi, et al.
Published: (2025)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning
by: Bogahawatte, Jayanie, et al.
Published: (2024)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
by: Chen, Yanjun, et al.
Published: (2024)

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
by: Zhao, Anhao, et al.
Published: (2026)

From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models
by: Tong, Junlong, et al.
Published: (2026)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities
by: Tang, Hua, et al.
Published: (2024)

SonicBench: Dissecting the Physical Perception Bottleneck in Large Audio Language Models
by: Sun, Yirong, et al.
Published: (2026)

Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language Learning
by: Chen, Yanjun, et al.
Published: (2025)

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding
by: Tong, Junlong, et al.
Published: (2025)

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling
by: Zhao, Anhao, et al.
Published: (2025)

Extending LLMs' Context Window with 100 Samples
by: Zhang, Yikai, et al.
Published: (2024)

Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
by: Zhao, Taibiao, et al.
Published: (2025)

Improving LLM Reasoning through Interpretable Role-Playing Steering
by: Wang, Anyi, et al.
Published: (2025)

Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
by: Sun, Yirong, et al.
Published: (2024)

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
by: Liao, Ruotong, et al.
Published: (2023)

Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
by: Fan, Haoran, et al.
Published: (2025)

Using Pre-trained LLMs for Multivariate Time Series Forecasting
by: Wolff, Malcolm L., et al.
Published: (2025)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
by: Kowsher, Md, et al.
Published: (2024)

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment
by: Sun, Yanru, et al.
Published: (2025)

LLaSO: A Foundational Framework for Reproducible Research in Large Language and Speech Model
by: Sun, Yirong, et al.
Published: (2025)

Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
by: Yang, Haoyan, et al.
Published: (2024)

Text Reinforcement for Multimodal Time Series Forecasting
by: Su, Chen, et al.
Published: (2025)

Select to Think: Unlocking SLM Potential with Local Sufficiency
by: Ye, Wenxuan, et al.
Published: (2026)

MERRY: Semantically Decoupled Evaluation of Multimodal Emotional and Role Consistencies of Role-Playing Agents
by: Wang, Zhenyu, et al.
Published: (2026)

PRISM: Preference Refinement via Implicit Scene Modeling for 3D Vision-Language Preference-Based Reinforcement Learning
by: Sun, Yirong, et al.
Published: (2025)

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
by: Bumb, Mayank, et al.
Published: (2025)

LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
by: Liu, Peiyuan, et al.
Published: (2024)

SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
by: Mei, Shuhao, et al.
Published: (2025)

Multimodal Conditioned Diffusive Time Series Forecasting
by: Su, Chen, et al.
Published: (2025)

Context Guided Transformer Entropy Modeling for Video Compression
by: Tong, Junlong, et al.
Published: (2025)

Metaphor Understanding Challenge Dataset for LLMs
by: Tong, Xiaoyu, et al.
Published: (2024)

MoTime: A Dataset Suite for Multimodal Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2025)