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AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

AskChem indexes 2.4M atomic chemistry claims with provenance for cross-paper synthesis, achieving 100% resolvable DOIs and highest citation density.

Bing Yan, Gregory Wolfe, Stefano Martiniani, Kyunghyun Cho

Published Jul 30, 2026 · 0 citations · ▲ 308 on Hugging Face · Code ★ 16

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AI panel: 12 of 20 reviewers recommend it

lenient 5/5

medium 6/10

strict 1/5

45%Niche pick

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NeurIPS 2026SpotlightMassachusetts Institute of Techn MIT Information retrieval

Is Dimensionality a Barrier for Retrieval Models?

Kiril Bangachev, Guy Bresler, Jonathan Kogan, Yury Polyanskiy

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

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57%Worth a look

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NeurIPS 2026Harbin Institute of Technology Xiaohongshu Information retrieval

OpenSearcher: Democratizing Deep Search through a Fully Offline Pipeline with Programmatic Verification

Zheng Chu, Xiao Wang, HuiMing Fan, Qianyu Wang and 5 more

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

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1/20 AI panelreviewers recommend it

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lenient 1/5

medium 0/10

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NeurIPS 2026Institute of Computing Technolog Institute of Computing Technolog U the Chinese Academy of Science The Chinese University of Hong K Universiti Sains Malaysia Information retrieval

VecDBLens: A Modular Framework for Diagnosing Vector Databases Retrieval Pipelines

Yutong Zhou, Guoxin Kang, Wenxin Zhou, Haoyu He and 5 more

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

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57%Worth a look

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NeurIPS 2026Columbia Boston University, Boston MIT, Boston IBM T.J. Watson Research Center Information retrieval

Robust Approximate Nearest Neighbor Search for Any Dataset

Alexandr Andoni, Themistoklis Haris, Esty Kelman, Krzysztof Onak

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

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lenient 1/5

medium 0/10

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NeurIPS 2026Harbin Institute of Technology Northeast Electric Power Information retrieval

RIVET: Regex-to-Indexable Keys via Neural Translation for Interactive LIMIT-k Retrieval

Dong Wang, Yingze Li, Zihang Yu, Ziqing Zeng 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 2026New York U Massachusetts at Amherst Pinecone U Massachusetts Amherst Information retrieval

On Worst-Case Guarantees for Graph-Based Nearest-Neighbor Search

Majid Daliri, Mohammadreza Daneshvaramoli, Purna Dutta, Edo Liberty and 3 more

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

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45%Niche pick

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NeurIPS 2026Microsoft Princeton U Virginia, Charlottesville U Chicago Information retrieval

Data Auctions for Retrieval Augmented Generation

Minbiao Han, Seyed A Esmaeili, Michael Albert, Haifeng Xu

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

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78%Highly rated

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NeurIPS 2026Meta Superintelligence Labs - EN Meta, FAIR Meta Facebook AI Research Information retrieval

Cluster with Auctions for Vector Search

CwA jointly learns a balanced database partition and neural probing function via auction optimization, boosting vector search throughput up to 4.7x over state-of-the-art methods.

Swann BESSA, Pierre Fernandez, Gergely Szilvasy, Matthijs Douze and 1 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it

lenient 4/5

medium 5/10

strict 2/5

71%Highly rated

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NeurIPS 2026KuaiShou Technology Kuaishou- 快手科技 national university of singaore,Kuaishou Kuaishou Technology Information retrieval

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework

OneSearch-V2 uses thought-augmented query understanding and reasoning self-distillation to improve generative search, boosting item CTR by 3.98% without added latency.

Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang and 4 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · Code ★ 174

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it

lenient 4/5

medium 2/10

strict 0/5

89%Must read

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NeurIPS 2026Peking Beijing International Center for Peking Univerisity ubiquant Ubiquant Information retrieval

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving

LeanSearch v2 retrieves full lemma sets for Lean 4 theorems via embedding-reranking and iterative sketch-retrieve-reflect cycles, achieving 46.1% global premise recovery and 20% proof success.

Guoxiong Gao, Zeming Sun, Jiedong Jiang, Yutong Wang and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · 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 5/5

medium 8/10

strict 3/5

78%Highly rated

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