arXiv:2609.16779v1 Announce Type: new Abstract: LLMs are increasingly employed in a wide range of decision-making tasks. However, the opacity of their…
Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition
arXiv:2609.16752v1 Announce Type: new Abstract: Cognitive Field Theory (CFT) proposes that cognition arises from memory-dressed collective dynamics that…
LSREP: A Longitudinal State-Replay Protocol for Evaluating Conversational Memory, with ICE v2 as an Audited Local-First Architecture
arXiv:2609.16730v1 Announce Type: new Abstract: Conversational memory changes during use, so endpoint question answering alone cannot establish how a…
Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
arXiv:2609.16768v1 Announce Type: new Abstract: IMU-based human activity recognition (HAR) enables continuous, privacy-friendly monitoring of daily…
Turn-level Multiscale Density Ratio Estimation for LLM Agents
arXiv:2609.16760v1 Announce Type: new Abstract: With the rapid development of Large language model (LLM), agent systems enhanced by LLMs show huge…
Prior Labs Releases TabPFN-3.5: A Tabular Foundation Model That Beats the Winning Otto Kaggle Solution With Default Settings
Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto’s winning solution.
VideoMM: Adaptive Macro-Micro Inference for Efficient Video MLLMs
arXiv:2609.16722v1 Announce Type: new Abstract: Scaling Multimodal Large Language Models (MLLMs) to long-form video understanding is bottlenecked by the…
AI News Brief Hourly Summary 2026-09-16 09h : 11 posts
11 posts published in the last hour 06:32ANIMASK: What the Model Contributes to Role Play in Simulated Story Worlds 06:32AI for Games in the Foundation Model Era 06:32EchoPath: Execution-Level Replayable Memory for GUI Agents 06:32little m: An AI Agent for…
ANIMASK: What the Model Contributes to Role Play in Simulated Story Worlds
arXiv:2609.16667v1 Announce Type: new Abstract: When a language model plays a character, the observed behavior reflects both the assigned persona and the…
AI for Games in the Foundation Model Era
arXiv:2609.16679v1 Announce Type: new Abstract: Foundation models, alongside advances in learned game-world models, are reshaping AI across the game…
EchoPath: Execution-Level Replayable Memory for GUI Agents
arXiv:2609.16635v1 Announce Type: new Abstract: Computer-use agents increasingly operate browsers, software, and desktop applications via CLI or API…
little m: An AI Agent for Industrial Process Optimization
arXiv:2609.16680v1 Announce Type: new Abstract: Manufacturing consumes one third of global energy and still has significant room for improvement in terms…
ReDraft, Don’t Just Distill: Reference-Driven Revision for Continual VLLM Post-Training
arXiv:2609.16639v1 Announce Type: new Abstract: Continual post-training of large multimodal models should add new capabilities while preserving those from…
QueryFormer: Winning Solution for KDD Cup 2026 Tencent UniRec Challenge
arXiv:2609.16548v1 Announce Type: new Abstract: Post-click conversion rate (pCVR) prediction requires jointly modeling feature interactions and sequential…
A Framework for Generating Valid Context-Specific Benchmarks through Expert Guidance
arXiv:2609.16592v1 Announce Type: new Abstract: This paper presents an end-to-end approach for generating context-specific large language model (LLM)…
Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models
arXiv:2609.16589v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly handle complex subjective tasks, aligning their intentions…
Query-Aware Source-Risk Triage for Retrieval-Augmented Generation
arXiv:2609.16564v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) pipelines may omit a source’s material relationship to the query. We…
AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research
arXiv:2609.16519v1 Announce Type: new Abstract: Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in…