Where Rounding Happens Matters: Rounding-Location Alignment Stabilizes LLM Reinforcement Learning
Reinforcement learning for large language models often uses separate systems for inference and training. Even with identical…
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Papers, breakthroughs and what the labs found this week.
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Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models
Objective: To develop a unified vision-language model for prompt-conditioned quantitative ultrasound measurement that addresses…
Yalda-Embedding: Open Development of a Competitive Persian Retrieval Model
Despite advances in multilingual text representations, effective dense retrieval for Persian remains constrained by the limited…
SemantEq: Faithful Bidirectional Equivalence of Formal Statements
Statement autoformalization translates mathematics from natural language into a proof assistant such as Lean 4, and models now do…
Intel gets waiver after worries fuzzy US ban on foreign-made robots may hit fabs
Company says foreign-made robotic vehicles are crucial to US chip production.
Better speech synthesis for audiobooks
“Controllable text to speech” makes speech more expressive, character voices more distinct and consistent.
Interpretable Singing Emotion Recognition Using Acoustic and Vocal Technique Features
Singing emotion recognition relies predominantly on deep learning models that achieve strong performance but offer limited…
LGMT: A Tool for Testing the Logical Reasoning Reliability of LLMs
Large Language Models (LLMs) increasingly serve as reasoning components in modern software systems, yet a model that answers a…
What Transfers Across Protein Pockets? Experience Reuse in Molecular Optimization for Agentic Structure-Based Drug Design
LLM agents optimize a ligand in a protein pocket by editing it step by step and docking each edit. Recent agents first spend…
Earth embeddings are decomposable records of the land surface
Ecological monitoring, carbon accounting and biodiversity assessment increasingly rely on annual Earth embeddings--learned…
Interpreting Supervised Pairwise Graph Representations: Local Evidence, Confounding, and Provable Post-hoc Correction
Supervised pairwise graph representations convert pairwise predictive relations into sample-specific graphs, but graph-level…
LLaCO: Continuous Diffusion for Large Language Models with Competition-Aware Semantic Scheduling
Continuous diffusion models have emerged as a promising non-autoregressive paradigm for text generation over continuous embedding…
Trajectory Matching: Discrete Flow Matching with Structured Actions
The natural units of structured discrete generation are often not independent single-component edits but richer actions…
Let's Do Turbulence Right: In Space and Time!
The three-dimensional Navier-Stokes equations govern fluid turbulence, a chaotic and non-linear physical phenomenon characterized…
By every measure, Opus 4.8 beats human experts as peer reviewers in a study of 124 Harvard social science papers covering a range from statistical analyses to formal models to qualitative work.
Link to the paper: Seems like all of the complaints about AI generated reviews being low quality don’t stand up to scrutiny.
Designing an AI serving harness built to last
The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it…
The Foundations of Scalable AI
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge…
The Proximity Paradox: Why AI Is Making Us Soft—and How to Fight Back
We have a chronic obsession with the finish line. Right now, across every sleek boardroom and digital workspace, we are popping…
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