arXiv:2609.11391v1 Announce Type: cross Abstract: Environmental controversies in global supply chains pose significant risks for global buyers. This study…
Category: AI
Altman Says OpenAI Will Match Anthropic’s Embedded Evaluator Pledge
OpenAI chief executive Sam Altman committed his company on September 12, 2026, to having independent evaluators with employee-like access, endorsing…
X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
arXiv:2609.11412v1 Announce Type: cross Abstract: Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing…
Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
arXiv:2609.11373v1 Announce Type: cross Abstract: Empirical research on content moderation is fundamentally constrained by the opaque deployment of…
E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets
arXiv:2609.11334v1 Announce Type: cross Abstract: Natural Language Inference processes pairs of sentences to extract their semantic relations. NLI has…
Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs
arXiv:2609.11347v1 Announce Type: cross Abstract: Knowledge graph foundation models such as ULTRA achieve zero-shot link prediction on unseen graphs…
Agent-Integrated Software: Interaction Contracts and Continuous Assurance
arXiv:2609.11381v1 Announce Type: cross Abstract: Embedding an intelligent agent in an existing application creates a persistent coordination problem:…
Roundtables: Could AI really kill us all?
Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more…
On the Impact of Anonymization on the Performance of Large Language Models
arXiv:2609.11335v1 Announce Type: cross Abstract: As large language models are increasingly deployed in sensitive domains, anonymizing input data to…
Your Model Already Knows Don’t Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language Models
arXiv:2609.11310v1 Announce Type: cross Abstract: We address few-shot object detection with vision-language models (VLMs) in out-of-domain settings such…