AI 趋势

How LLM Tool Calling Works, Measured on GPU With Qwen3–8B

Towards AI · Nov 11, 2026

One special token, a two-call handshake, and what breaks when you register 50 tools, measured layer by layer on an A100 Continue reading on Towards AI »

Grok-built apps exposed patient data, plaintext passwords, and SpaceXSI's own sales pipeline

The Decoder · Nov 11, 2026

Security firm Claroc found more than 35,000 Grok-built apps open to anyone without login, including patient data and confidential SpaceXSI documents. The cause: "Anyone with the link" was preselected as the default acce…

How LLM Search Engines Pick Sources: A Practical Retrieval Checklist for Brands

Towards AI · Nov 11, 2026

Disclosure: this article was drafted with the help of AI tools and reviewed by the author. When a language-model search engine answers a question, it is not remembering your brand. In ChatGPT search, Claude, Perplexity…

TrustMod-SM: A Multi-Axis Benchmark for Evaluating Trustworthiness of LLMs in Social Media Content Moderation

arXiv cs.AI · Nov 11, 2026

arXiv:2611.12970v1 Announce Type: new Abstract: Large Language Models (LLMs) show strong potential for social media content moderation, but their trustworthiness beyond overall accuracy remains underexplored. We introdu…

SetPrint: Black-Box LLM Fingerprinting via Setwise Correspondence of Response Changes

arXiv cs.AI · Nov 11, 2026

arXiv:2611.12950v1 Announce Type: new Abstract: Black-box LLM fingerprinting aims to determine whether a target model was derived from a source model when only the output responses to input queries are observable. One w…

BuySideFlow: A Point-in-Time Benchmark for LLM Agents in Investment Research

arXiv cs.AI · Nov 11, 2026

arXiv:2611.12966v1 Announce Type: new Abstract: Large language models (LLMs) can generate SQL and SQL--Python workflows for investment research, but ensuring point-in-time (PIT) validity remains challenging. Agents must…

From Questions to Decisions: Benchmarking How LLM Agents Acquire Decision-Relevant Information from Human Beings

arXiv cs.AI · Nov 11, 2026

arXiv:2611.13015v1 Announce Type: new Abstract: LLM agents are increasingly asked to make plans for people, such as scheduling drivers or assigning nurses. However, people's requests are often incomplete, and the suppor…

GRAP: Gender Rubric-Aware Probing for Analyzing Gender Bias in LLMs

arXiv cs.AI · Nov 11, 2026

arXiv:2611.13024v1 Announce Type: new Abstract: As LLMs increasingly mediate everyday interactions, subtle gender biases in open-ended responses pose growing societal risks. Existing probing methods have two key limitat…

Agreeing on the Answer but Not the Reason: Measurement Limits of LLM Reasoning Failure Taxonomies

arXiv cs.AI · Nov 11, 2026

arXiv:2611.13140v1 Announce Type: new Abstract: Failure taxonomies for LLM reasoning are increasingly reported as measurements: papers state what fraction of a model's errors fall into named categories, then compare tho…

Teaching the Harness: Student-Aware Skill Transfer for LLM Agents

arXiv cs.AI · Nov 11, 2026

arXiv:2611.13144v1 Announce Type: new Abstract: Effective teaching requires reasoning about the learner as well as the task, a capacity that Theory of Mind describes as inferring another agent's latent state from its be…