All Articles
17650 articles total
Diverse Evidence, Better Forecasts: Multi-Agent Deliberation Under Information Asymmetry
Introduction of InfoDelphi, a framework that uses designed information asymmetry among multiple LLM agents to improve forecasting accuracy and reduce herding.
Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Continual ECG Deployment
Research on an incremental expert bank for ECG deployment that separates expert retention from autonomous source inference to handle new data sources without replaying raw data.
Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing
Introduction of Goggles, a pretrained module that edits finetuning gradients to impose an epistemic frame, preventing models from believing fictional data during training.
COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows
Presentation of COMFYCLAW, an agentic skill evolution harness for ComfyUI that uses typed graph editing and VLM verification to build reusable image generation skills.
Generic Expert Coverage for Pruning SparseMixture-of-Experts Language Models
A new expert pruning method called Generic TB-Coverage that preserves cross-corpus utility to reduce redundancy in Sparse Mixture-of-Experts (MoE) models without downstream data.
Distributionally Robust Listwise Preference Optimization
Proposed a distributionally robust listwise preference optimization objective to improve LLM alignment under ranking-label uncertainty and noise.
DRL-CLBA: A Clean Label Backdoor Attack for Speech Classification via DDPG Reinforcement Learning
Development of DRL-CLBA, a clean label backdoor attack for speech classification using DDPG reinforcement learning and deep audio steganography.
Reformalization of the Jordan Curve Theorem
A case study on the reformalization of the Jordan Curve Theorem across different proof assistants including Mizar, Lean, HOL Light, and Agda.
Meta-Benchmarks for Financial-Services LLM Evaluation
A meta-benchmarking framework for financial-services LLMs that organizes hundreds of benchmarks into banking business domains using a multiplicative weighting scheme.
14× faster embeddings: how we rebuilt the ONNX path in Manticore
Manticore details how they achieved a 14x speedup in embeddings by rebuilding their ONNX execution path.
Cowboys, Frontiersmen, Settlers, Townspeople, Cityfolk
A discussion on the archetypes of pioneers and city dwellers, likely exploring sociological or historical transitions.
Politician who investigated spyware abuses had his phone hacked with Pegasus spyware
A European politician investigating spyware was targeted by Pegasus spyware, highlighting ongoing abuses by NSO Group customers.
Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation
Introduces Hawk, a training-free framework for generating high-performance NPU kernels by incorporating hardware-aware knowledge.
Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model
Presents PASE, a neuro-symbolic framework that uses LLMs and a world model to generate and verify autonomous recovery plans for cloud faults.
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication
Proposes SemHash-LLM, a multi-granularity semantic hashing framework designed for efficient large-scale document deduplication.
Profit-Based Counterfactual Explanations for Product Improvement: A Case Study of Manga Sales in Japan
Introduces PBCE, a framework for profit-based counterfactual explanations to optimize product attributes based on profit maximization.
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
Introduces C3RL for better LLM confidence calibration and CAS for adaptive test-time scaling to reduce inference costs.
Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction
Proposes a geometry-aware graph neural network for rainfall field reconstruction using heterogeneous spatial supports.
Autonomous discovery of traffic laws with AI traffic scientists
Presents TrafficSci, an agentic AI system capable of autonomously discovering universal traffic laws through an iterative scientific workflow.
The Free Market Lie: Why Switzerland Has 25 Gbit Internet and America Doesn't
An analysis of the differences in internet infrastructure and accessibility between Switzerland and the United States, challenging free-market assumptions.