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20242026
most citedLarge Language Models for Planning: A Comprehensive and Systematic Survey

2 citations · 2 across the 10 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

MATrack: Efficient Multiscale Adaptive Tracker for Real-Time Nighttime UAV Operations

Xuzhao Li, Xuchen Li, Shiyu Hu

Nighttime UAV tracking faces significant challenges in real-world robotics operations. Low-light conditions not only limit visual perception capabilities, but cluttered backgrounds…

cs.CV2025

Select Less, Reason More: Prioritizing Evidence Purity for Video Reasoning

Xuchen Li, Xuzhao Li, Shiyu Hu +1

Long-form video reasoning remains a major challenge for Video Large Language Models (Video LLMs), as static uniform frame sampling leads to information dilution and obscures critic…

cs.CV2025

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning

Xuchen Li, Xuzhao Li, Jiahui Gao +3

Vision-Language Models (VLMs) excel at many multimodal tasks, yet they frequently struggle with tasks requiring precise understanding and handling of fine-grained visual elements.…

cs.AI2025

VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains

Xuzhao Li, Xuchen Li, Shiyu Hu +2

Large language models (LLMs) increasingly rely on reinforcement learning (RL) to enhance their reasoning capabilities through feedback. A critical challenge is verifying the consis…

cs.CV2025

CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos

Xuchen Li, Xuzhao Li, Shiyu Hu +2

Recent advances in large language models (LLMs) have improved reasoning in text and image domains, yet achieving robust video reasoning remains a significant challenge. Existing vi…

cs.AI2025★ 2 cited

Large Language Models for Planning: A Comprehensive and Systematic Survey

Pengfei Cao, Tianyi Men, Wencan Liu +7

Planning represents a fundamental capability of intelligent agents, requiring comprehensive environmental understanding, rigorous logical reasoning, and effective sequential decisi…

cs.CV2025

DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking

Xuzhao Li, Xuchen Li, Shiyu Hu

Nighttime UAV tracking presents significant challenges due to extreme illumination variations and viewpoint changes, which severely degrade tracking performance. Existing approache…