arXiv AI
Jun 18
Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
arXiv:2602. 19591v3 Announce Type: replace-cross Abstract: Small and Medium Enterprises (SMEs) constitute 99.
Large language models
Model releases, architecture work and prompting research on large language models — from frontier-lab announcements to the arXiv papers behind them.
arXiv Machine Learning
Jun 18
Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks
arXiv:2606. 18530v1 Announce Type: cross Abstract: Domain-camouflaged injection attacks embed malicious instructions in retrieved content using domain-appropriate vocabulary, evading standard detectors that rely on syntactic injection markers.
arXiv AI
Jun 18
Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration
arXiv:2606. 18259v1 Announce Type: cross Abstract: AI agents that plan, retain memory across sessions, invoke external tools and act with partial autonomy are transforming human--AI collaboration.
arXiv Machine Learning
Jun 18
Formalizing and Mitigating Structural Distortion in LLM Attention for Graph Reasoning
arXiv:2606. 15633v2 Announce Type: replace Abstract: Large Language Models (LLMs) have shown promise for reasoning over Text-Attributed Graphs (TAGs).
arXiv AI
Jun 18
Reinforcement Learning Foundation Models Should Already Be A Thing
arXiv:2606. 18812v1 Announce Type: cross Abstract: Foundation models for language and vision are powered by internet-scale data, while structured domains (tabular prediction, time-series forecasting, graph learning, reinforcement learning) are not.
arXiv Machine Learning
Jun 18
DiPOD: Diffusion Policy Optimization without Drifting Apart
arXiv:2606. 13795v2 Announce Type: replace Abstract: RL post-training has become increasingly pivotal for improving diffusion policies, but existing diffusion policy-gradient methods are often unstable and cannot achieve reliable policy improvement.
arXiv AI
Jun 18
scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering
arXiv:2606. 18672v1 Announce Type: cross Abstract: Single-cell RNA sequencing (scRNA-seq) serves a pivotal role in characterizing gene expression at the cellular level, enabling the identification of cell types and advancing the understanding of cellular heterogeneity.
arXiv AI
Jun 18
User as Engram: Internalizing Per-User Memory as Local Parametric Edits
arXiv:2606. 19172v1 Announce Type: new Abstract: Personal memory in a language model is two problems: content and reasoning skill.
arXiv AI
Jun 18
What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy
arXiv:2606. 18465v1 Announce Type: cross Abstract: Grokking, the delayed jump from memorization to generalization, is usually tied to the weight norm: a smaller norm generalizes sooner.
arXiv AI
Jun 18
InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement
arXiv:2601. 14968v2 Announce Type: replace-cross Abstract: Most existing time series classification methods adopt a discriminative paradigm that maps input sequences directly to one-hot encoded class labels.
arXiv AI
Jun 18
From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions
arXiv:2606. 18257v1 Announce Type: cross Abstract: While LLMs show promise in automating educational content creation, their ability to generate questions that stimulate higher-order thinking remains understudied.
arXiv AI
Jun 18
Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
arXiv:2606. 18831v1 Announce Type: cross Abstract: Long-context reasoning is an essential capability for large language models, particularly when they are deployed as autonomous agents that must reason over lengthy trajectories.
arXiv Machine Learning
Jun 18
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arXiv:2511. 00802v2 Announce Type: replace-cross Abstract: With data-driven development now widely adopted, online A/B testing is an established method for measuring the effects of new technologies.
arXiv AI
Jun 18
From Concept-Aligned Tokens to Vulnerable Features: Mechanistic Localization of Jailbreaks
arXiv:2604. 23130v2 Announce Type: replace-cross Abstract: Jailbreak attacks expose a persistent failure mode in safety-aligned LLMs: models can be pushed into harmful behavior, but the internal representations enabling this shift remain poorly localized.
arXiv Machine Learning
Jun 18
Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models
arXiv:2509. 22020v2 Announce Type: replace Abstract: While recent advances in machine learning have equipped Weather Foundation Models (WFMs) with substantial generalization capabilities across diverse downstream tasks, the escalating computational requirements associated with their expanding scale increasingly hinder practical deployment.
arXiv AI
Jun 18
Code-Augur: Agentic Vulnerability Detection via Specification Inference
arXiv:2606. 18619v1 Announce Type: cross Abstract: The advent of agentic vulnerability detection is already becoming a watershed moment for software security.
arXiv AI
Jun 18
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
arXiv:2508. 09191v2 Announce Type: replace-cross Abstract: Time series forecasting plays a vital role in supporting decision-making across a wide range of critical applications, including energy, healthcare, and finance.
arXiv AI
Jun 18
Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents
arXiv:2606. 18947v1 Announce Type: new Abstract: Production LLM agents increasingly depend on real-time search, yet native search grounding bundles retrieval policy, provider choice, evidence injection, cost, latency, and generation behavior behind a single model-provider boundary.
arXiv AI
Jun 18
CEO-Bench: Can Agents Play the Long Game?
arXiv:2606. 18543v1 Announce Type: new Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service.
arXiv AI
Jun 18
ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents
arXiv:2603. 00026v2 Announce Type: replace-cross Abstract: Memory management is essential for LLM agents in long-term interactions.