… Although frontier models achieve relatively strong performance on direct expression evidence, performance drops substantially on functional, indirect, and weak-support evidence, with evidence-type confusion emerging as a dominant failure mode. …
… 4 Lightweight & Practical The framework is designed for edge deployment : local detection + placeholder substitution + SQLite lookup are low-latency operations works as a drop-in privacy layer for existing cloud agents / memory systems 5 Open-Source MemPrivacy Models We release a family of MemPriva… …
… View arXiv page View PDF Add to collection Community SleepWalk introduces a scalable single-scene 3D benchmark that tests whether VLMs can translate natural-language instructions into continuous, collision-aware, interaction-compatible trajectories, revealing that current frontier models still fail… …
… The versions of the libraries I used are: trl==0.18.2 peft==0.15.2 transformers==4.52.4 deepspeed==0.17.1 LoRA Config lora config = LoraConfig r=training config "rank" , lora alpha=training config "alpha" , target modules= "q proj", "k proj", "v proj", "o proj", "gate proj", "up proj", "down proj",… …
… The following papers were recommended by the Semantic Scholar API HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention 2026 Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models 2026 Flux Attention: Context-Aware Hybrid Attention for Efficie… …
… AI-generated summary Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. …