arXiv:2608.18103v1 Announce Type: cross Abstract: Background: Mechanistic elucidation of traditional Chinese medicine (TCM) compound formulas remains a…
Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals
arXiv:2608.18107v1 Announce Type: cross Abstract: We investigate whether large language models (LLMs) systematically discriminate in candidate evaluations…
Computational Orientalism: Measuring Structural Discourse Bias in Large Language Models Using the Middle East Cultural Sensitivity Score (MECSS)
arXiv:2608.18100v1 Announce Type: cross Abstract: AI systems now shape how hundreds of millions of people learn about cultures other than their own. When…
StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
arXiv:2608.18105v1 Announce Type: cross Abstract: StocksTalk is a voice-enabled conversational system for transforming spoken financial screening requests…
How AI Accelerates Food & Beverage R&D, Without Replacing the Food Scientist
The food and beverage (F&B) industry has never faced more competing pressures. Consumers expect healthier products, cleaner labels, and more sustainable…
Different Facets of Verbalised Overconfidence: an Interpretability Study
arXiv:2608.18106v1 Announce Type: cross Abstract: Large language models tend to overconfidence, giving assertive answers when the evidence suggests…
Abliteration Mitigation via Refusal Aliases
arXiv:2608.18093v1 Announce Type: cross Abstract: Abliteration, the removal of refusal capabilities from large language models by projecting weight…
Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
arXiv:2608.18091v1 Announce Type: cross Abstract: As LLM-as-a-judge systems become increasingly widespread, self-preference in LLMs — the tendency to…
NE-BERT: A Multilingual Language Model for Nine Northeast Indian Languages
arXiv:2608.18094v1 Announce Type: cross Abstract: Large pretrained language models have demonstrated remarkable capabilities across diverse languages, yet…
Backdoor Learning in Language Models and Vision-Language Models
arXiv:2608.18095v1 Announce Type: cross Abstract: Recent advances in deep learning have significantly enhanced the capabilities of Natural Language…
Why Your Model Only Learns What the Labels Teach It
A supervised model does not learn the world; it learns the labels a team of annotators assigned to pixels. If those labels disagree with each other, blur…
Fractional Decay KV-Cache: Ownership-Aware Memory Management for Improved Inference Relevancy in Dialog Systems
arXiv:2608.18098v1 Announce Type: cross Abstract: Key-value (KV) caching is essential for efficient autoregressive inference in transformer based dialog…
AI News Brief Hourly Summary 2026-08-20 13h : 15 posts
15 posts published in the last hour 10:33Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities 10:33Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems 10:33Latent Space Refusal Anchoring for Low-Resource African…
Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
arXiv:2608.18090v1 Announce Type: cross Abstract: Inside a modern language model sits a single internal direction that tracks how positive or negative a…
Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems
arXiv:2608.19140v1 Announce Type: new Abstract: Frontier language models are compared, marketed, and benchmarked on capability — what their best or…
Latent Space Refusal Anchoring for Low-Resource African Languages: Mechanistic Safety Recovery Without Retraining
arXiv:2608.18089v1 Announce Type: cross Abstract: Instruction-tuned models often refuse harmful requests in English but comply with the same requests in…
Unlocking hidden revenue streams with market models
Each day, an airline transports tens of thousands of passengers on hundreds of flights. Often these are not straightforward point-to-point routes, with…
Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication
arXiv:2608.19161v1 Announce Type: new Abstract: Language-model agents can communicate through continuous hidden states that are invisible in public…