Cross-lingual Ranking Preference Optimization (CRPO) transfers preference knowledge from English to improve LLM alignment in other languages, using a hierarchical…
“Acquire, Repair, Preserve” is a three-stage post-training recipe for small language models playing interactive dialogue games: supervised fine-tuning for broad…
GGSS (Geodesic-Gated Spherical Steering) is an inference-time debiasing method for generative vision-language models that discovers a counterfactual bias subspace on…
Reward-Optimized Probe-and-Respond (RO-PnR) is a framework that decides when conversational agents should ask clarifying questions versus give direct corrections during…
This paper introduces a Generation-Fact Graph (GFG) framework unifying training, learning, and inference dynamics in neural systems, developing a predictive…
Generative Semantic Scene Completion (GSSC) is a discrete-diffusion framework for outdoor LiDAR scene completion with three components: paired sparse-dense synthesis…
This paper presents a cross-lingual evaluation of extractive prompt compressors across ten languages and eleven target models, benchmarking four learned…
Writing in MIT Technology Review, Rumman Chowdhury argues that framing AI systems as potentially conscious or “autonomous” functions as a…
AI Frontiers reports that new transparency regulations in the European Union and California, which took effect on August 2, 2026,…
Gary Marcus argues in a Substack post that OpenAI faces mounting financial strain, citing Wall Street Journal reporting that the…
In a Substack essay, Gary Marcus outlines two scenarios under which he believes the AI industry could collapse, comparing it…
A Bloomberg Opinion column contends that lingering social stigma around admitting to personal AI chatbot use is distorting how adoption…
