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Showing papers from Technische Universität Darmstadt Show all papers

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Harder the Task, Sparser the Representation: Sparsity as a Learning Signature of Capability in LLMs

Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng and 7 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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A Geometric Perspective on Reward Function Updates in Inverse Reinforcement Learning

Anish Abhijit Diwan, Jan Peters, Oleg Arenz

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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What Is Worth Representing? Representational Empowerment for Continual Model Construction

Fei Dai, Hanqi Zhou, Alison Gopnik, Charley M Wu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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CRISP: Compositional Reasoning over Images via Stackable Programs for VLMs

Arnas Uselis, Yujin Jeong, Yanpeng Zhao, Alexander Rubinstein and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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JAXtari: High-Throughput and Easy-to-Modify Arcade Learning Environment

Quentin Delfosse, Raban Emunds, Paul Seitz, Sebastian Wette and 4 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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ECHO-2: A Large-Scale Distributed Rollout Framework for Cost-Efficient Reinforcement Learning

ECHO-2 is a distributed RL framework that overlaps rollout generation, dissemination, and training with bounded policy staleness to improve cost efficiency while preserving rewards.

Jingwei Song, Meng Chen, Jie Xiao, Qingnan Ren and 14 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face

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AI panel: 11 of 20 reviewers recommend it
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Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction

ZendoWorld evaluates AI agents on active visual rule induction and finds high prediction accuracy does not imply rule recovery, with VLM agents proposing near-uninformative experiments.

Sophia Koehler, Antonia Wüst, Inga Ibs, Top Piriyakulkij and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
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78%Highly rated
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KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs

KV Packet treats cached documents as immutable packets with lightweight trainable adapters to eliminate KV cache recomputation, achieving near-zero FLOPs and lower TTFT with comparable F1.

Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 10 on Hugging Face · Code ★ 39

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
74%Highly rated
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Nautilus: From One Prompt to Plug-and-Play Robot Learning

NAUTILUS converts a single prompt into robot learning workflows via plug-and-play agent skills, typed contracts, and automated validation, reducing cross-family engineering overhead.

Yufeng Jin, Jianfei Guo, Xiaogang Jia, Yu Deng and 7 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
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