The Archive

Meta's new Muse Spark 1.1. will go up against similar products offered by Anthropic and OpenAI.

Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings and stock movements, while rarer events such as credit-rating changes, product approvals, and labor issues are harder to capture at scale. Synthetic generation can help fill those gaps for trading research, risk modeling, and surveillance… Source

News publishers say OpenAI hid tools and datasets that could identify copyrighted journalism in ChatGPT outputs, escalating their lawsuit with a new motion for sanctions.

OpenAI may be sanctioned for hiding, deleting ChatGPT logs in NYT copyright fight.

A new feature will indicate when advertisers have used generative AI tools to create or edit their ads, Google says.

The Paris-based ElevenLabs competitor, just announced a hefty seed extension round.

"Exactly what that dialog looked like between the government and Anthropic and OpenAI is unclear."

UniClawBench introduces a capability-factored benchmark for evaluating proactive agents on real-world tool-use tasks beyond sandboxed single-turn settings.

OpenCoF proposes Chain-of-Frame reasoning via video generation with a 17K dataset, enabling temporal reasoning paths alternative to Chain-of-Thought.

Meta's new AI image generator is using your public Instagram photos unless you opt out. Here's how to do that.

IdeaGene-Bench evaluates scientific lineage reasoning and idea generation by modeling papers as typed genome objects with inheritance tracking.

Mathematical analysis showing score-matching forward-marginal error does not guarantee numerical stability in discretized diffusion samplers.

MulTTiPop dataset provides 3.5 hours of pop music with aligned multitrack MIDI for automatic music transcription evaluation.

SLORR introduces a stateless in-training low-rank regularization framework for neural network compression without architecture modification.

Large-scale log analysis of 77,543 students using AI learning assistant Syntea reveals actual usage patterns in distance education.

Graph algorithms applied to UMAP's internal k-nearest-neighbor structure improve data manifold interpretation beyond 2D projections.

AUTOPILOT-VQA benchmark evaluates vision-language models on safety-critical incident reasoning from dashcam video.

ARDY enables real-time controllable 3D human motion generation via autoregressive diffusion with text and kinematic constraints for interactive applications.

Proposes persistent knowledge object model for LLM workflows combining symbolic forms, object identity, and live-image thinking for tool use and execution.

Shows quantization from 8-bit to 2-bit induces behavioral divergence in LLMs beyond accuracy/perplexity metrics; introduces correctness agreement metric.

Challenges Super Weights hypothesis by showing isolated training of critical parameters fails on OLMo models; selective parameter training ineffective.

Evaluates AMALIA (9B Portuguese model) on moral foundation coding; distinguishes agreement from validity for theoretically-grounded construct annotation.

BioModule: lightweight temporal transformer predicting biomechanical attributes from 3D pose estimates for rehab and sports science.

Models adaptive reasoning in control policies via autoregressive latent space organized as memory palace for iterative information retrieval.

Deep learning framework for joint narrowband interference cancellation and soft demodulation in OFDM systems with non-Gaussian residuals.

Proactive memory agent running alongside action agent mitigates behavioral state decay in long-horizon tasks via structured memory bank updates.

Multi-modal 3D terrain reconstruction for wildfire-prone regions using image-based methods with DEM priors as geometric guidance.

In its bid to spend less on GPUs from providers like Nvidia, Meta is on track to start making its the latest versions of its AI-specific chips in September.

Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in... Source

Graph RL agent optimizes liquidity placement on Bitcoin Lightning Network via message-passing policy and PPO with action masking.