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This https://arxiv.org/abs/2502.11844 has been replaced.
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BaxBench: Can LLMs Generate Correct and Secure Backends?
Automatic program generation has long been a fundamental challenge in computer science. Recent benchmarks have shown that large language models (LLMs) can effectively generate code at the function level, make code edits, and solve algorithmic coding tasks. However, to achieve full automation, LLMs should be able to generate production-quality, self-contained application modules. To evaluate the capabilities of LLMs in solving this challenge, we introduce BaxBench, a novel evaluation benchmark c…

TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
Hyundong Jin, Sicheol Sung, Shinwoo Park, SeungYeop Baik, Yo-Sub Han
https://arxiv.org/abs/2506.00089

TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
The reasoning, writing, text-editing, and retrieval capabilities of proprietary large language models (LLMs) have advanced rapidly, providing users with an ever-expanding set of functionalities. However, this growing utility has also led to a serious societal concern: the over-reliance on LLMs. In particular, users increasingly delegate tasks such as homework, assignments, or the processing of sensitive documents to LLMs without meaningful engagement. This form of over-reliance and misuse is em…

@… I voted “collaborative document editing tool”, but what I want is “all of the above”, and I think it is a shame that we can’t seem to manage it.

Modern search demands scalable personalisation. Join Piotr Kobziakowski
at this year's Berlin Buzzwords to discover how Vespa's multi-stage ranking and tensor framework can be used for hybrid queries, multimodal retrieval, and real-time machine learning. Learn how to deploy low-latency, high-relevance search systems at petabyte scale.
Learn more:

Vespa.ai’s Personalized Search: Advanced Ranking & Tensor framework
Today’s applications require search engines to unify text, vectors, and business logic with millisecond latency at petabyte scale. It’s not easy to balance speed, relevance, and personalization for a large user population and a billion scale item base. Vespa.ai, the open-source engine powering Yahoo, Perplexity, Qwant, Vinted, Spotify addresses this through multi-stage ranking with close to data tensor operations and easy to understand custom functions. Vespa’s phased architecture enables…

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
Max Ku, Sun Sun, Hongyu Guo, Wenhu Chen
https://arxiv.org/abs/2506.14853

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
We introduce DisProtEdit, a controllable protein editing framework that leverages dual-channel natural language supervision to learn disentangled representations of structural and functional properties. Unlike prior approaches that rely on joint holistic embeddings, DisProtEdit explicitly separates semantic factors, enabling modular and interpretable control. To support this, we construct SwissProtDis, a large-scale multimodal dataset where each protein sequence is paired with two textual descr…

Volumetric Functional Maps
Filippo Maggioli, Marco Livesu, Simone Melzi
https://arxiv.org/abs/2506.13212 https://arxiv.org/pdf/2506.1…

Volumetric Functional Maps
The computation of volumetric correspondences between 3D shapes has great potential for medical and industrial applications. In this work, we pave the way for spectral volume mapping, extending for the first time the functional maps framework from the surface setting to the volumetric domain. We show that the eigenfunctions of the volumetric Laplace operator define a functional space that is suitable for high-quality signal transfer. We also experiment with various techniques that edit this fun…

variability.dev: Towards an Online Toolbox for Feature Modeling
Tobias He{\ss}, Lukas Ostheimer, Tobias Betz, Simon Karrer, Tim Jannik Schmidt, Pierre Coquet, Sean Semmler, Thomas Th\"um
https://arxiv.org/abs/2506.09845

variability.dev: Towards an Online Toolbox for Feature Modeling
The emergence of feature models as the default to model the variability in configurable systems fosters a rich diversity in applications, application domains, and perspectives. Independent of their domain, modelers require to open, view, edit, transform, save, and configure models as well as to collaborate with others. However, at the time of writing, the top five results when googling ``Online Editor Feature Model'' point to editors that either have minimal functionality, are unmaintained or d…

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
Chi Jiang, Taixia Shi, Dingding Liang, Lei Gao, Chulun Lin, Yang Chen
https://arxiv.org/abs/2506.02583

Advanced microwave photonic waveform editing: enabling the evolution of radar systems into joint radar and spectrum sensing systems
In response to the urgent demand for the development of future radar application platforms from single radar functionality towards integrated multi-functional systems, we show an advanced microwave photonic waveform editing method that enables the editing of arbitrary radar waveforms, equipping them with the capability to perform spectrum sensing. This, in turn, expands single-function radar systems into joint radar and spectrum sensing systems. We theoretically define and calculate the accumul…

• 🔧 Extensible architecture via #PHP and #JavaScript plugins with lazy loading capabilities for performance
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The Washington Post could soon allow non-professional writers to submit opinion columns using an AI writing coach known as Ember,
according to a report from The New York Times.
The move is reportedly part of a broader initiative to open the paper to outside opinion pieces, including from other publications, Substack writers, and amateur columnists.
Sources tell the Times that Ember “could automate several functions normally provided by human editors,”
including by offe…

The Washington Post is planning to let amateur writers submit columns — with the help of AI
The Washington Post is planning a new initiative that will allow non-professional writers to submit opinion pieces using an AI-powered writing coach, called Ember, according to The New York Times.