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45%Niche pick
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fev-bench: A Realistic Benchmark for Time Series Forecasting

Oleksandr Shchur, Abdul Fatir Ansari, Ali Caner Turkmen, Lorenzo Stella and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 179

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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CREF: Forecasting Benchmarks for the Age of Agents

Andreas Auer, Abdul Fatir Ansari, Oleksandr Shchur, Xiyuan Zhang 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
89%Must read
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DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts

DualKV eliminates shared-prompt replication in RL training via FlashAttention kernels that process shared and per-sequence KV regions separately, achieving up to 3.82x policy-update speedup.

Jiading Gai, Shuai Zhang, Xiang song, Yuyang (Bernie) Wang and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 3/5
86%Must read
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TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

TabPrep is a lightweight feature engineering pipeline that targets structural data patterns to consistently boost tabular model performance across benchmarks.

Andrej Tschalzev, Nick Erickson, Yuyang (Bernie) Wang, Huzefa Rangwala and 3 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
76%Highly rated
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Learning How to Cube

A neuro-symbolic framework trains a 4B-parameter model via MCTS-curated preference data and two-stage post-training to learn SAT cubing heuristics matching top symbolic methods.

Ferhat Erata, Sam Kouteili, Thanos Typaldos, Timos Antonopoulos and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 2/5