Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs
ASIG: fine-tuning LLMs for sequential information gathering via amortized Bayesian Experimental Design and information-gain rewards.
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ASIG: fine-tuning LLMs for sequential information gathering via amortized Bayesian Experimental Design and information-gain rewards.
Human-in-the-loop framework learns individual causal models to personalize algorithmic recourse recommendations in high-stakes ML decisions.
Dynamic Security Control Compositor addresses compositional policy violations in multi-tool agent chains via Most Restrictive Set algorithm.
Resemble AI's DETECT-3B-Omni deepfake audio detector demonstrates demographic and content independence across 10K samples from 8 voice-cloning systems.
SemEval-2026 task entry using transformer ensembles and LLM annotations for dimensional aspect-based sentiment regression.
S-ICDF dataset provides Sionna-simulated RF interference data for ML-based jamming detection, classification, and direction finding.
CO-ALIGN mitigates bias in text-to-image diffusion via concept-graph alignment in text encoders and denoisers without semantic collapse.
End-to-end analytics framework extracts urban mobility and commercial insights from mobile location data for tourism and resource planning.
Simon Willison's June 2026 newsletter covers Claude Fable 5, GPT-5.6, GLM-5.2 open weights, and US export restrictions.
DP-Diffusion compresses high-dimensional data (images) with differential privacy guarantees via diffusion models and stochastic codes.
Framework evaluates agentic policy repair in hotel-pricing simulator using only region-level diagnostic feedback without per-state labels.
Taxonomy of policy learning objectives beyond regret minimization, focusing on statistically significant improvement over baselines with limited data.
Dataset of 15.6M scientific papers with automatically classified rhetorical sections (Introduction, Methods, Results, Discussion) from S2ORC.
Spectral shape-based metrics using Heavy-Tailed Self-Regularization theory to fingerprint and compare LLMs across architecture/scale/training differences.
Google DeepMind partners with A24 on unspecified research initiative; details on focus area and technical outcomes unavailable.
CueTrust benchmark reveals vision-language models encode outlet-identity credibility priors, vulnerable to source-override attacks independent of article content.
CaSPECT: causal spectral clustering method for discovering homogeneous subgroups via directed acyclic graphs and treatment effect estimation.
Causal patching analysis reveals two visual information pathways in VLMs: direct (image tokens) and text-mediated (via query tokens), task-dependent.
LLM-enhanced hierarchical graph method for detecting malicious Python packages on PyPI by combining code understanding with structural program analysis.
PedestrianDiffusion: multimodal diffusion framework for 6D inertial navigation state estimation via frequency-domain denoising of MEMS sensor data.
Multiscale Single-Index Model (MSIM) as tractable theoretical framework for studying hierarchical feature learning with scale separation in deep networks.
Dataset valuation via model merging for decentralized multi-task learning environments without central coordinator, enabling fair data marketplaces.
At the event "The Briefing: AI for Science" earlier this week, Anthropic announced Claude Science, a new "AI workbench for scientists" that pulls fragmented tools and datasets into one environment, and generates figures and visuals. Anthropic, already dominating the industry…
CSympNet-ID: neural framework learning conformal-symplectic maps for linearly damped Hamiltonian systems with long-horizon prediction fidelity.
A scan of an imaging phantom, segmented to validate how cleanly structures separate under controlled conditions. | Image: Midjourney Medical Midjourney has shown more of its futuristic medical scanner. It still hasn't shown much proof it works. The AI startup, best known for…
AI Engineer World's Fair concludes with debate on agentic loops and report on engineering practices; keynotes address development priorities.
Vercel's Andrew Qu discusses eve agent framework, emphasizing skills, sandboxes, and agent-readable web design as architectural primitives.
At an internal meeting, the Meta CEO reportedly said that AI development efforts were not moving as quickly as anticipated.
AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns... AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI…
Adobe experiments with agentic sites that dynamically generate pages based on individual user intent, signaling shift toward personalized web experiences.