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Paper proposes obscuring refusal signals to resist abliteration attacks
An arXiv preprint introduces a weight-editing method intended to make safety refusals harder to extract and remove. The paper reports stronger post-abliteration refusal scores on two open models, with different tradeoffs in general-purpose performance.arxiv.orgInnovation
Paper reports a temporal method for detecting hallucinations at the token level
An arXiv preprint describes a hallucination detector that combines text statistics, entailment signals and language-model surprisal across sequences instead of judging tokens independently. Its BiGRU model reached an AUC of 0.840 on RAGTruth, according to the paper.arxiv.orgInnovation
Entity tracking emerges at 410 million parameters, exceeds humans across naturalistic narratives
Understanding language requires tracking entities across discourse - i.e., knowing where things are and how they change, even when not explicitly stated.arxiv.orgInnovation
Paper reports compiler-guided search improves Lean theorem-proving efficiency
An arXiv preprint proposes an adaptive proof-search method for context-dependent Lean 4 projects. Its authors report a 12.8-percentage-point average pass-rate improvement within a pass@32 budget while using 21.9% fewer LLM calls than pass@k baselines.arxiv.orgInnovation
Benchmark Separates Geometry Solving From Diagram Construction
A new open-source benchmark tests whether foundation models can construct faithful geometry diagrams, not merely solve the underlying problems. Its authors report that evaluated models achieved an average compile success rate of 36.14%, exposing a gap between mathematical answers and usable visual constructions.arxiv.orgInnovation
Alignment Is All You Need: Instruction-Free Training for General Audio-Language Models
A new approach to training multimodal large language models (MLLMs) eliminates the need for extensive task-specific supervision.arxiv.orgSecurity
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
This work examines emoji-augmented prompts as a test case for gaps in safety evaluation of large language models (LLMs).arxiv.orgEnterprise
Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
Modern e-commerce platforms often operate search, recommendation, personalization, and CRM systems independently, limiting opportunities for proactive customer re-engagement.arxiv.orgInnovation
New benchmark shows Vietnam’s exam rubric can change how language models rank
A paper introduces THPT-Ladder, a 632-item benchmark that applies Vietnam’s 2025 national exam grading scheme to language models and reports materially different scores from standard proportional-accuracy measures.arxiv.org
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