Showing papers from Alibaba group Show all papers
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AnchorWorld improves egocentric world simulation via full-body interaction supervision and anchor-view customization with consistent spatio-temporal dynamics.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 30 on Hugging Face
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Archer applies entropy-aware dual-token constraints to RLVR, modulating optimization strengths across reasoning and knowledge tokens to improve mathematical and code performance.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face · Code ★ 44
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Edit-R2 uses reinforcement learning to reconstruct session intent and jointly optimize reasoning and generation for multi-turn image editing. It improves instruction following and consistency over accumulated constraints on the MICE-Bench benchmark.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AgentBrew learns tool-use policies offline from raw real-world trajectories via retrospective task inference and PMI-based credit assignment, improving Qwen3-32B by +8.7 accuracy over larger baselines.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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StableVQ decouples encoder-decoder and codebook training via Dynamic STE, Region VQ Loss, and independent schedules to stabilize VQ tokenizers and boost utilization and reconstruction.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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OneSearch-V2 uses thought-augmented query understanding and reasoning self-distillation to improve generative search, boosting item CTR by 3.98% without added latency.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · Code ★ 174
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cIPO aligns text-to-video diffusion by deriving implicit preferences from reconstruction errors and concentrating optimization on high-error temporal segments to fix sparse artifacts.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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UniCustom fuses visual-semantic and appearance features before VLM encoding to eliminate cross-reference confusion in multi-reference image generation. Experiments show improved subject consistency, instruction following, and compositional fidelity over baselines.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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