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…
This paper shows that Sliding Window Attention (SWA) with attention sinks delivers comparable or superior performance to post-trained Linear Attention…
Researchers propose Language Model Security Modules (LMSM), a framework that adapts the architecture of Linux Security Modules to protect large…
ContextPilot addresses context management in long-horizon agent reasoning by giving agents tools beyond simple search and deletion, including planning, long-term…
EvoUndo is a framework for evaluating whether self-modifying LLM agents can safely reverse their own runtime changes across different system…
StarHarness is a framework that optimizes the executable environment surrounding a fixed language model by evolving prompts, tool interfaces, skills,…
