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9 storiesInnovation
Preprint Reports Off-Manifold Collapse in Guided Protein Language Models
A new arXiv preprint reports that strong inference-time guidance can push protein language models toward degenerate sequences that still score well under the optimized property oracle. The authors propose a low-cost post-hoc filter based on the model’s natural activation statistics.arxiv.orgSecurity
Study Finds Denoising Can Recover More Text From Noise-Protected Embeddings
A paper accepted by IEEE ICDM 2026 reports that adaptive inversion reconstructs substantially more of the original text from Gaussian-noise-protected embeddings than an existing generative baseline, challenging a widely used privacy assumption without establishing real-world exposure or independent replication.arxiv.orgInnovation
Preprint proposes a test for structural bias in LLM discussions of the Middle East
A single-author arXiv preprint introduces the Middle East Cultural Sensitivity Score and reports that two language models reproduce structural Orientalist patterns in conversations about the region. The findings are preliminary and have not been independently verified.arxiv.orgInnovation
Preprint reports a label-light valence direction that transfers across four modalities
A one-author arXiv preprint claims that a direction derived from nine emotion categories and narrative examples can track positive-negative valence in text, images, audio and brain recordings, while showing clear limits across concepts and model families.arxiv.orgInnovation
Preprint describes a multi-agent AI framework for analyzing Chinese herbal formulas
A new arXiv preprint describes DeepTCM1.0, a system using 11 specialized AI agents and iterative review to analyze possible mechanisms of traditional Chinese medicine formulas. It reports an evaluation design but no numerical results, clinical validation, or evidence of improved patient care.arxiv.orgSecurity
Ph.D. dissertation examines backdoor attacks in language and vision-language models
An arXiv-listed Ph.D. dissertation studies how backdoor attacks can affect language models and vision-language models, including methods for analysis, detection and attack design.arxiv.orgInnovation
Preprint reports higher LLM candidate ratings for prestigious institutions
An arXiv preprint reports that four large language models rated candidate profiles more favorably when linked to higher-prestige institutions and journals. The authors say institutional and geographic cues can shape evaluation, while the tested models and professional domains remain unspecified in the supplied source.arxiv.orgInnovation
Study finds inference context can change LLM outputs in medical allocation scenarios
An arXiv paper reports that three of four tested language models shifted resource-allocation probabilities differently when the same clinical scenario was evaluated with or without the model’s prior response in context.arxiv.orgInnovation
Preprint reports AI decoding of natural sentences from non-invasive brain recordings
A research team describes Brain2Qwerty v2, a model that uses real-time MEG recordings to decode typed natural sentences, reporting a 39% average word error rate across nine subjects.arxiv.org
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