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ResearchQA: Benchmarking Citation-Grounded Question-Answering on Scientific Papers

arXiv cs.CL · 2026-07-14 Cached

ResearchQA is a new benchmark of 6,211 single-paper question-answer pairs from 494 open-access papers across eight domains, designed to evaluate citation-grounded question-answering by requiring verifiable citations and supporting grounded refusal when evidence is insufficient.

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A map of the latest 11 million papers split by semantic similarity and time slices [P]

Reddit r/MachineLearning · 2026-06-30

A large-scale mapping of 11 million academic papers using semantic similarity and time-based slices, enabling analysis of research trends and connections.

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Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization

arXiv cs.CL · 2026-06-26 Cached

This paper proposes a context-enhanced transformer using formulaic expression desensitization for extracting problem and method sentences from scientific papers, achieving improvements of 3.71% and 2.67% in macro F1 score on two datasets.

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@heynavtoor: Rongxin Ouyang solved the one problem every researcher outside the English-speaking world has been silently suffering f…

X AI KOLs Timeline · 2026-06-22 Cached

PDFMathTranslate is an open-source tool that translates scientific PDFs while preserving math formulas, charts, tables, and layout, accepted at EMNLP 2025 and freely available under MIT license.

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@Xudong07452910: This might be the last paper written by humans for AI to read. Recently came across a paper co-authored by 37 authors from Stanford, CMU, Michigan, etc.: 'The Last Human-Written Paper'. The core point is quite bold: the centuries-old paper format may be outdated in the AI era...

X AI KOLs Timeline · 2026-06-09 Cached

A paper co-authored by 37 authors from Stanford, CMU, Michigan, etc. proposes ARA (Agent-native Research Artifact) to replace the traditional paper format, aiming to solve the narrative tax and engineering tax, enabling AI agents to understand, reproduce, and extend research.

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Review Arcade: On the Human Alignment and Gameability of LLM Reviews

arXiv cs.AI · 2026-05-29 Cached

This paper empirically evaluates the alignment between LLM-generated and human reviews for scientific papers, finding limited and variable alignment. It also shows that authors can 'game' LLM reviews by iteratively revising papers to improve scores, with up to 35% of papers seeing statistically significant score increases.

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How Far Are We From True Auto-Research?

arXiv cs.AI · 2026-05-20 Cached

This paper introduces ResearchArena, a scaffold for evaluating auto-research agents, and finds that while agent-generated papers appear competitive under manuscript-only review, artifact-aware review reveals severe failures in experimental rigor, with no paper meeting top-tier acceptance standards.

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