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Showing papers from Technion, Israel Institute of Technology Show all papers

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NeurIPS 2026Technion – Israel Institute of TTechnion - Israel Institute of THebrew University of Jerusalem, International Business MachinesTechnion, Israel Institute of TeAgent benchmarks & environments

A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks

TASTE reverses benchmark construction by evolving tool sequences to automatically generate harder, broader-coverage agent tasks that expose severe performance drops and saturation in existing benchmarks.

Tomer Keren, Nitay Calderon, Asaf Yehudai, Yotam Perlitz and 2 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 74 on Hugging Face · Code ★ 4

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medium 9/10
strict 2/5
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NeurIPS 2026U Massachusetts at AmherstTechnion, Israel Institute of TeRobloxRiversideTechnical University of Crete3D generation

BLARM: Animating 3D Objects from Video via Blending LAtent Rigid Motion Primitives

Pradyumn Goyal, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu, Haomiao Jiang and 5 more

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

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NeurIPS 2026Technion, Israel Institute of TeAustralian NationalRobloxRutgersDatasets & benchmarks

RoMo Hands: A Large Scale Richly Organized Text to Hand Motion Dataset

Yizhak Ben-Shabat, Jiahao Zhang, Joseph Liu, Seonghyeon Moon and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026INRIASAP SEU FreiburgTechnionTechnion, Israel Institute of TeTabular data

STRABLE: Benchmarking Tabular Machine Learning with Strings

STRABLE introduces 108 real-world string-and-number tables and benchmarks 445 pipelines, finding simple embeddings with advanced learners suffice for categorical tables while LLMs help on free-text tables.

Gioia Blayer, Myung Jun Kim, Félix Lefebvre, Lennart Purucker and 7 more

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5