WEEKLY TOP 10 · 2026-10-05 → 2026-10-11 · FINAL
Hot papers · 2026-W41
Ranked by Hugging Face upvotes among papers with a takeaway, grouped by the ISO week they were listed on HF Daily. A week is frozen once complete.
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#01▲2932026-10-08
AgentGarten: Code Worlds for Evolving Agents
AgentGarten couples simulators and game engines with a neural renderer to build faithful, realistic worlds for training agents.
AgentsVisual generation
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#02▲2872026-10-01
RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations
RealCompanion releases ten real AI-companion relationships (27,218 messages over up to 120 days) to test long-term understanding of a person.
Benchmarks & dataAgents
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#03▲1972026-10-07
UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation
UltraText Bench uses 432 bilingual prompts to evaluate dense visual text rendering in image generators.
Visual generationBenchmarks & data
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#04▲1892026-10-06
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight
Self-Retrospection Distillation turns hindsight into foresight supervision, filling the gap when RLVR rewards are all identical.
Reinforcement learningAgents
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#05▲1742026-10-04
Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation
Kandinsky 6.0 Video generates 5-second clips with synchronised 44 kHz audio and lip-sync, in 3B and 29B variants.
Visual generationMultimodal
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#06▲1672026-10-08
REMORY: Learning Residual Memory for Context Compaction
REMORY appends learned soft memory tokens after a summary so long-horizon agents lose less when compacting context.
AgentsEfficient training & inference
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#07▲1532026-10-06
Learn2Play Bench: How Well Do LLM Agents Learn from Experience in Unfamiliar Environments?
Learn2Play Bench uses text games with novel or counterintuitive rules to test whether agents learn from experience.
AgentsBenchmarks & data
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#08▲1522026-10-05
LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches
LoGRA cuts RL post-training memory with low-rank gradient sketches and keeps training stable with predicted-KL step control.
Reinforcement learningEfficient training & inference
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#09▲1432026-10-08
TokenRouter: Efficient Serving System for Token-Level LLM Routing
TokenRouter is a serving system for token-level LLM routing that fixes step desynchronisation and batching delays.
Efficient training & inference
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#10▲1312026-09-29
STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State Quantization
STEPQuant studies where and when quantisation errors matter in linear-attention recurrent states, enabling low-precision state storage.
Efficient training & inference