V-CoLA: Vision Token Compression with Linear Attention
Paper • 2610.11251 • Published • 9
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How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems
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LoopArena: Which Models Make Good Runtime Controllers for Coding Agents?
Long-running coding agents are often guided by another model that reviews progress, chooses the next assignment, requests verification, and decides when to stop. LoopArena evaluates that model as the Controller while keeping the coding Worker and execution setup fixed.
The benchmark covers next-step decisions, repeated control over task slices, and complete software tasks. We have released the benchmark data, evaluation code, and v0.1.0 results.
LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering (2608.28281)
https://github.com/AMAP-ML/LoopArena
Long-running coding agents are often guided by another model that reviews progress, chooses the next assignment, requests verification, and decides when to stop. LoopArena evaluates that model as the Controller while keeping the coding Worker and execution setup fixed.
The benchmark covers next-step decisions, repeated control over task slices, and complete software tasks. We have released the benchmark data, evaluation code, and v0.1.0 results.
LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering (2608.28281)
https://github.com/AMAP-ML/LoopArena
CokeWang
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CokeWang
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Lutalica
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Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
Paper • 2605.29447 • Published • 18
D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
Paper • 2602.02160 • Published • 14
Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
Paper • 2605.28109 • Published • 19
Pyramid Texture Filtering
Paper • 2305.06525 • Published • 1
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bowiehsu
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yuezhengrong
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CokeWang
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