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#natural language process... Preprint Oct 2026

The Sum of All Summaries: PROPALIGN for Graded Proposition Salience Evaluation

Identification and ranking of salient propositions in documents is indirectly involved in many AI tasks, but few papers define proposition salience scores clearly, make diverse data available, or evaluate models directly on the task. This paper proposes PROPALIGN, a multiple-summary-based approach for propositional sal...

Lin Ai, Emma Thronson, Katherine Conhaim et al. · 0 citations
#natural language process... Preprint Sep 2026

Using LMs to Model the Effects of Context and Coreference during Sentence Comprehension

This work systematically vary the context window size of GPT-2 across four large-scale naturalistic English reading-time datasets and observes a U-shaped relationship, demonstrating that tracking long-range coreference relations is one important factor for the alignment between LM surprisal and human reading behavior.

Kohei Kajikawa, Lin Ai, Tatsuki Kuribayashi et al. · 0 citations

Jailbreaking Jailbreaks: A Proactive Defense for LLMs

P RO A CT represents an orthogonal defense strategy that serves as an additional guardrail to enhance LLM safety against the most effective attacks.

Wei-Liang Zhao, Daniel Ben-Levi, Jinjun Peng et al. · 1 citation
#natural language process... Preprint Sep 2026

Rhythms of Work: Multi-Scale Interpretation of Human Behavioral Traces for Workplace Agents

A multi-resolution vocabulary of semantically normalized operators, recurring motifs, coherent episodes, and day-level rhythms, each preserving the structure salient at its own horizon is constructed, each preserving the structure salient at its own horizon.

Lin Ai, Scott Counts · 0 citations

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