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Showing papers from Max Planck Institute for Intelligent Systems Show all papers

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NeurIPS 2026Max Planck Institute for IntelliEberhard-Karls-Universität TübinETHZ - ETH ZurichELLIS Institute & MPI IntellLLM reasoning & chain of thought

Tio: Language Models with Parallel Streams of Thoughts, Inputs and Outputs

Guinan Su, Yanwu Yang, Xueyan Li, Jonas Geiping

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Microsoft Research / UIUCMPI for Intelligent Systems, TübMax Planck Institute for IntelliStanfordMITLLM evaluation & benchmarks

AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation

Olawale Salaudeen, Florian E. Dorner, Tom Sühr, Sang Truong and 12 more

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

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57%Worth a look
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NeurIPS 2026International Institute of InforInternational Institute of InforMax Planck Institute for IntelliVideo generation

ENACT: Single-Image Human-Scene Interaction Motion from Language via Foundation-Model Orchestration

Sreehari Rajan, Kunal Kamalkishor Bhosikar, Charu Sharma, Nikos Athanasiou

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Max Planck Institute for IntelliBrown University Meta FAIRMPI for Intelligent Systems, TübVision-language-action models

Perception for Action in Latent World Models

Petr Ivashkov, Randall Balestriero, Bernhard Schölkopf

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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80%Must read
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NeurIPS 2026ELLIS Institute Tübingen, MPI-ISMax Planck Institute for IntelliELLIS, University of StuttgartEberhard-Karls-Universität TübinInstitute for AI, UnivAgent benchmarks & environments

FutureSim: Replaying World Events to Evaluate Adaptive Agents

FutureSim replays real-world events chronologically to benchmark adaptive AI agents forecasting future news, finding top accuracy at only 25%.

Shashwat Goel, Nikhil Chandak, Arvindh Arun, Ameya Prabhu and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 56

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
74%Highly rated
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NeurIPS 2026OralMax Planck Institute for IntelliETH ZurichETH Zurich / Max Planck InstitutGoogle DeepmindETH ZürichLLM pretraining & scaling laws

LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure

LittleLearner is a 5B-parameter model trained on grade-capped elementary data to study controlled knowledge acquisition and bounded capability growth.

Fanfei Li, Jana Zeller, Manuel Prada-Corral, Thaddäus Wiedemer and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 9 on Hugging Face

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
72%Highly rated
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NeurIPS 2026The Chinese University of Hong KMax-Planck-Institute for IntelliWestlakeMax Planck Institute for IntelliCUHKLLM pretraining & scaling laws

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation

Pion updates weight matrices via orthogonal equivalence transformations that preserve singular values during LLM training, offering a stable, competitive optimizer alternative.

Kexuan Shi, Hanxuan Li, Zeju Qiu, Yandong Wen and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 39

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 1/5
78%Highly rated
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NeurIPS 2026National University of SingaporeMax Planck Institute for IntelliMax Planck Institute for Intelli3D vision & reconstruction

UniCon3R: Unified Contact-aware 4D Human-Scene Reconstruction from Monocular Video

UniCon3R uses inferred 4D human-scene contact to correct poses and jointly reconstruct physically plausible 4D humans aligned with scene geometry from monocular video.

TANUJ SUR, Shashank Tripathi, Nikos Athanasiou, Ha Linh Nguyen 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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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5