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Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
Announce Type: replace Abstract: Natural language processing (NLP) technologies are rapidly reshaping how language is created, processed, and interpreted by humans. With current and potential applications in hiring, law, healthcare, and other areas that impact people's lives, understanding and mitigating harms towards marginalized groups is critical. In this survey, we examine NLP research papers that explicitly address the relationship between LGBTQIA+ communities and NLP technologies.
If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
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Unified Controllable and Faithful Text-to-CAD Generation with LLMs
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Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
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SLU-2K: A Question-Based Benchmark for Semantic Evaluation of Sign Language Translation
arXiv:2606.03788v1 Announce Type: new Abstract: Sign Language Translation (SLT) is typically evaluated with surface-form metrics such as BLEU and ROUGE, which reward lexical overlap but do not directly measure whether a translation preserves the meaning of the source sign sequence. This is in contrast with the final objective of integrating SLT in assistive technology. In this work, we shift the focus from Sign Language Translation (SLT) to Sign Language Understanding (SLU), with particular...
Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
arXiv:2606.05569v1 Announce Type: new Abstract: Mispronunciation Detection and Diagnosis (MDD) has gained increasing importance in computer-assisted language learning and speech technology in recent years. In this paper, we propose a method for constructing statistical graphs that enable models to learn phoneme confusion patterns represented as directed graphs. Furthermore, we introduce a language-specific strategy to capture systematic pronunciation differences across various native...
SEA-NLI: Natural Language Inference as a Lens into Southeast Asian Cultural Understanding
arXiv:2606.03284v1 Announce Type: new Abstract: Frontier LLMs perform well in Western contexts, but remain poorly tested on underrepresented cultures such as those in Southeast Asia (SEA). Existing NLI benchmarks are largely Western-centric, translation-derived, or monolingual, limiting their ability to measure culturally grounded reasoning. We introduce SEA-NLI, a native, culturally grounded NLI benchmark covering eight SEA countries in English and native regional languages, verified by...
Chinese AI lets everyday users command quantum computing with natural language
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An encyclopedia formed from AI hallucinations – what could go wrong?
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HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite
arXiv:2606.04126v1 Announce Type: new Abstract: We introduce HighTide, an evolving AI-assisted benchmark suite. Specifically, the contributions are: (i) a diverse open-source suite spanning multiple design languages and technology nodes, (ii) Bazel-based incremental RTL-to-GDS compilation with remote caching, (iii) AI-assisted design curation through twelve agent skills covering the design lifecycle, flow optimization, tool reference, and meta-maintenance, backed by per-design decision logs...