Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
Generative AI
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AI Research
Computer Vision: SIFT algorithm (Scale Invariant Feature Transform)
Elegant object matching from several viewpoints The post Computer Vision: SIFT algorithm (Scale Invariant Feature Transform) appeared first on Towards Data Science.
What the Kyoto Vision Means for AI-Powered Science
Seventeen countries have endorsed the Kyoto Vision for AI-powered science. Its push toward autonomous discovery raises questions about computing access and how governments will turn policy ambitions into research…
What If AI Is a Phase in Earth’s Evolution?
Philosopher Benjamin Bratton has a much bigger way of thinking about AI: as the newest step in a billions-of-years process where matter produced life, life produced intelligence, and intelligence learned to build…
How to Build a Cheap, Yet Reliable Model Router With Jev
Model routing can finally be a design choice rather than a system enhancement The post How to Build a Cheap, Yet Reliable Model Router With Jev appeared first on Towards Data Science.
😺 Trump named an AI czar
What Nvidia and AMD’s AI Acquisitions Say About the Next Chip War
Nvidia’s planned Hugging Face acquisition and AMD’s World Labs deal bring both chipmakers closer to the developers and researchers shaping future AI workloads, giving them an earlier view of how compute requirements may…
Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish
arXiv:2606.18717v2 Announce Type: replace Abstract: Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language models split words by corpus statistics, fragmenting…
Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks
arXiv:2604.24955v2 Announce Type: replace Abstract: As benchmarks grow in complexity, many apparent agent failures are not failures of the agent at all---they are failures of the benchmark itself: broken specifications,…
Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality
arXiv:2603.13725v2 Announce Type: replace Abstract: Memristor-based analog compute-in-memory (CIM) architectures provide a promising substrate for the efficient deployment of Large Language Models (LLMs), owing to…
Adaptive Mutual Distillation for Balanced Multi-Task Post-Training of Large Language Models
arXiv:2610.02856v1 Announce Type: new Abstract: Multi-task post-training of large language models (LLMs) aims to improve performance across tasks with unequal amounts of training data. Existing methods focus primarily…
Predicting Steering Vectors and Adapter Weights for Few-Shot Author-Style Transfer
arXiv:2610.03163v1 Announce Type: new Abstract: Adapting large language models to an individual author's style from a few examples is challenging, and scientific writing sharpens the difficulty: formal conventions leave…
Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
arXiv:2509.20810v2 Announce Type: replace Abstract: Large Language Models (LLMs) exhibit strong reasoning capabilities in complex tasks. However, they still struggle with hallucinations and factual errors in…
Many Preferences, Few Policies: Compact Portfolios for Multi-Objective LLM Alignment
arXiv:2604.04144v3 Announce Type: replace Abstract: Aligning large language models (LLMs) requires balancing competing objectives such as helpfulness, harmlessness, and conciseness. The appropriate balance varies across…
LLM Anonymization Against Agentic Re-Identification
arXiv:2605.30848v3 Announce Type: replace-cross Abstract: Agentic LLMs with web search change the threat model for text anonymization: weak contextual cues can become cross-referenceable evidence for re-identification,…
GAW-PO: Preference Optimization with Gradient-Aligned Token Weights
arXiv:2610.01511v2 Announce Type: replace Abstract: Most preference optimization methods, such as Direct Preference Optimization (DPO), apply preference supervision at the response level, although autoregressive…
LLMersion: A Local-First AI Agent Framework for Low-Cost Home Language Learning toward Educational Equity
arXiv:2609.29672v2 Announce Type: replace Abstract: Artificial intelligence helps education most where an essential provision has been rationed by cost. For language learners that provision is a teacher's voice, which…
AstroAgentBench: Evaluating Agentic Planning on Space Mission Planning Tasks
arXiv:2601.11354v3 Announce Type: replace-cross Abstract: Recent LLM-for-Space systems address mission planning, scheduling, operations support, simulator control, and autonomy, but their evaluations use different task…
World Embedding Benchmark
arXiv:2610.03632v1 Announce Type: cross Abstract: Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less…
Evaluating LLM-as-a-Judge Beyond Score Alignment: A Psychometric Analysis of Residual Judging Difficulty
arXiv:2610.02877v1 Announce Type: new Abstract: Large language models (LLMs) are widely used as automatic judges, with validity typically assessed via alignment with human scores. However, aggregate agreement fails to…
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