Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
Spanish psychiatric ICD classification dataset (145k entries) benchmarked classical NLP vs. LLMs for automated diagnosis coding.
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Spanish psychiatric ICD classification dataset (145k entries) benchmarked classical NLP vs. LLMs for automated diagnosis coding.
For years, tech companies have promised AI will give everyone a capable personal assistant but delivered something more like a clueless intern. Over the past six months, that has started to change, thanks largely to the viral open-source AI agent platform OpenClaw. And among the top AI labs now chasing similar success, one seems particularly well-poised to make agents succeed at a large scale: Google. At I/O 2026, Google announced new AI agents for gathering information, planning events, summarizing your inbox and calendar, and more. The agents can run continuously in the background, and the ...
SMoA improves LoRA parameter-efficient fine-tuning via spectrum modulation to overcome low-rank representational capacity limits.
MIST detects Trojaned DNNs during fine-tuning by analyzing spectral deviations in internal model representations.
CoarseSoundNet applies ML to soundscape ecology, classifying biophony, geophony, anthropophony in ecological audio data.
CoPhy combines VLM distillation and physics prediction via reinforcement learning to improve end-to-end autonomous driving beyond imitation learning.
User study of LLM-derived error highlights and APE suggestions in machine translation post-editing shows no productivity gains.
Utah may host one of the world's most colossal data centers, despite stark warnings from experts and fierce public backlash. Earlier this month, commissioners in Box Elder County signed off on the Stratos Project: a 40,000-acre data center stretching across the county's Hansel Valley. It's supposed to establish American AI dominance, but potentially at the expense of environmental damage and a strain on already overtaxed water supplies. The Stratos Project, backed by Shark Tank investor and venture capitalist Kevin O'Leary, is projected to be more than twice the size of Manhattan and consume ...
Figma's new AI assistant will be first available on Figma Design
Reasoning-trace collapse occurs when fine-tuning explicit reasoning models on instruction-response data without reasoning traces.
Advantage Collapse Rate metric diagnoses GRPO training failure in RL preference optimization for LLM reasoning.
Especially at night I feel like it’s always just one more turn that ends up being an hour(s) long. Let me just finish this module. Well now that is done, it’s silly to not finish up the corresponding whatever… Yesterday on my “last turn” I redesigned the GUI of one of my projects. Might’ve well started a war in Civ.
Linear-DPO generalizes Direct Preference Optimization to diffusion and flow-matching models via unified reverse-time SDE framework.
ABC-DFL proposes Byzantine-resilient decentralized federated learning for EV battery anomaly detection without central aggregation.
Framework for uncertainty-aware XAI via Bayesian neural networks and explanation distributions; application to power quality classification.
Complexity analysis for entailment in cumulative propositional dependence logics with team semantics.
Efficient training of deep state space models via importance smoothing, combining variational and SMC approaches.
Improved regret bounds for constrained online convex optimization via self-contraction technique.
HORST: modular optimizer composing L∞ and L1 geometries for stable, sparse transformer training.
Typed tensor language formalizing federated learning via client-local computation and mergeable aggregation.
VerbatimRAG system for hallucination-free QA over ACL Anthology via extractive retrieval and verbatim text spans.
WCXB: web content extraction benchmark with 2,008 pages across 7 content types for retrieval and LLM training.
UOTIP: unpaired inverse problem solver using unbalanced optimal transport for image reconstruction.
Error correction mechanisms for deep autoregressive time-series forecasting to mitigate long-term prediction drift.
https://reddit.com/link/1tik0qe/video/9bh6ypr3ca2h1/player A few hours, [Claude Code](https://www.claude.com/product/claude-code) \+ [Remotion](https://www.remotion.dev/), 4 black coffees, no design tools, no After Effects, no editor. **The whole trick:** Remotion is React for video. You write JSX, you get an mp4. Every animation is `interpolate(frame, [start, end], [from, to])`. That means **Claude Code can write the entire video for you** — it already knows React, animation is just numbers, and you can iterate the same way you iterate on a landing page. Change a value, re-render, see w...
LoCar introduces evaluation framework for in-vehicle LLM assistants with focus on Korean honorific stability and localization.
Decoupling Communication from Policy decouples latent representations in MARL to enable robust multi-agent coordination under bandwidth constraints.
AIMBio-Mat proposes AI-native FAIR framework linking materials provenance, knowledge graphs, and active learning for biomedical discovery.
AutoRPA distills LLM reasoning into efficient code synthesis for repetitive GUI automation tasks, bridging ReAct and traditional RPA.