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cs.LG2026
Optimal Multitask Representations Under a Rate Constraint: An Information Bottleneck Analysis
Nicholas Stiles, Gregory W. Wornell
Which pretraining objective yields the best representation for downstream tasks under an information budget? We formalize this problem as a multitask information bottleneck, using…
cs.AI2026
Decocted Experience Improves Test-Time Inference in LLM Agents
Maohao Shen, Kaiwen Zha, Zexue He +6
There is growing interest in improving LLMs without updating model parameters. One well-established direction is test-time scaling, where increased inference-time computation (e.g.…
cs.CV2026
LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines
Safa C. Medin, Gengyan Li, Ziqian Bai +8
We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face m…