PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf (2026 · 1 citation)
Early-career AI researchers often lack experienced mentors who can critique their drafts. Existing tools only partly fill that gap: grammar checkers fix individual sentences, and automated reviewers mostly assign quality judgments. PaperMentor is an open-source assistant that posts mentor-style feedback as inline…
Test of Time: Rethinking Temporal Signal of Benchmark Contamination (2026 · 1 citation)
Researchers often treat a drop in LLM accuracy on questions published after a model's training cutoff as evidence that older questions leaked into its training data.
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures (2026)
Studies of LLM agents in game-theoretic settings usually focus on strategy or task success. They rarely measure how varied or degenerate the agents' language becomes. This paper proposes CORE (Conversational Robustness Evaluation), a single score in [0, 1] for the linguistic health of multi-agent dialogs that needs…

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Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026