arXiv:2609.02580v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evidence…
Tag: AI
Pangram’s biggest flaw is users turning its scores into public shaming
Pangram hired an “attack dog” to shame alleged AI users on social media. But the campaign blurs two things that aren’t the same: Pangram only somewhat…
ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction
arXiv:2609.02549v1 Announce Type: cross Abstract: Drug-target interaction (DTI) prediction is an important task in AI-driven drug discovery. Although…
Legora reviewed 41 documents in minutes with GPT-6 Astra
Legora used GPT-6 Astra to review 41 documents in minutes, find all four planted errors, and improve performance by nearly 40% in this financial-review…
Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs
arXiv:2609.02548v1 Announce Type: cross Abstract: Modern large language models (LLMs) rely on reinforcement learning to build strong capabilities in…
ViSAR: Training-Free Adaptive-$k$ Retrieval for Visual Document Question Answering
arXiv:2609.02486v1 Announce Type: cross Abstract: Document Visual Question Answering (DocVQA) often leverages Retrieval-Augmented Generation (RAG), where…
Blending Concepts: Benchmarking Visual Metaphor Generation in Text-to-Image Models
arXiv:2609.02502v1 Announce Type: cross Abstract: Text-to-image (T2I) models have achieved remarkable success at faithfully rendering specified objects…
DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models
arXiv:2609.02468v1 Announce Type: cross Abstract: We explore predicting eCommerce user preferences for product aspects such as brand, size, and color – a…
5 Real-World Applications of Agentic AI in Enterprise Automation
Deploy agentic AI across SRE, finance, legal, migration, and security with deterministic safety constraints.
RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection
arXiv:2609.02497v1 Announce Type: cross Abstract: Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen,…