Curriculum Learning for Natural Language Understanding (2020 · 240 citations)
Pre-trained language models such as BERT are usually fine-tuned on NLU tasks with training examples shuffled randomly and weighted equally.
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora (2026 · 1 citation)
Most GraphRAG benchmarks use short, pre-cleaned passages. That makes it hard to judge how graph-based retrieval copes with long, messy, mixed-source document collections, the setting where it should help most. WildGraphBench fills this gap using Wikipedia. Articles from 12 top-level topics are sampled. The external…
LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection (2026)
The paper tackles hallucination detection in LLMs using white-box access to hidden states. The authors argue that existing white-box detectors are poorly targeted. Some probe a single fixed token, such as the last one, and miss signals spread across the sequence. Others pool all tokens, so irrelevant tokens add noise.

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Papers of our library cite their works 82 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026