adapter

R2Adapter is a lightweight routing and rewriting adapter that dynamically allocates queries between vanilla and graph-based RAG, reducing graph-based RAG usage by up to 59% while maintaining accuracy in multi-hop QA benchmarks.

EXPL-FR is a method that explains face recognition models by aligning vision-language embeddings to the recognition space, enabling label-free auditing of semantic attributes and model comparison without requiring architecture access.

TwiL-LM is a parameter-efficient LoRA adapter for SmolLM2-1.7B-Instruct, designed for formal-logic and reasoning tasks, achieving a macro-primary score of 0.361 on a formal-logic suite.

A hands-on review of the Werewolf VFLEX dongle, which lets you power old gadgets like a Super Famicom or monitor via USB-C batteries by programming the voltage through a phone app and attaching barrel jack tips.

This paper introduces a new problem setting called side-effect introspection, where the goal is to detect alignment degradation in fine-tuned LLMs that occurs as an unintended side effect rather than explicitly implanted behavior. The authors propose a novel Delta-Aware Introspection Adapter (DAIA) that outperforms existing introspection adapters in generalizing to unseen models and safety categories.

The article notes that when changing robot arms, adapter mismatches are often misattributed to policy failures, and suggests that Claude Opus 4.8 can draft adapters while LingBot-VLA 2.0 focuses on policy integrity.

This paper introduces PFAdapter, a communication-efficient framework for personalized federated fine-tuning of Multimodal Large Language Models (MLLMs). It uses hierarchical LoRA decomposition to separate adapter parameters into global-shared and local-private components, achieving near 50% reduction in communication costs while improving personalization through orthogonality regularization.

Musician Chris Graue has released the 3D-printable schematics and a tutorial for the adapter that allowed him to capture a photo of Jupiter using a Game Boy Camera and the Hooker Telescope, enabling anyone to replicate the setup.

Introduces Hankel Reduced order Model (HRM) adapter, an SSM-based residual module initialized via Balanced Truncation for parameter-efficient fine-tuning, outperforming LoRA on long-context tasks.

A project that turns the Raspberry Pi Pico W into a USB Wi-Fi adapter, providing a simple way to add wireless connectivity to devices via USB.

Introduces Code2LoRA, a hypernetwork that converts an entire code repository into a LoRA adapter for code LLMs, eliminating inference-time token overhead for repository-level knowledge.

MAAT introduces a multi-phase LoRA-adapter unlearning method along with the 5WBENCH benchmark, revealing that causal 'Why' knowledge is uniquely difficult to forget due to long multi-hop answer chains and gradient dilution, achieving strong forget–retain trade-offs on Llama 3.2-3B.

Proposes DIVE, a compression adapter for embedding dimensionality reduction that uses self-limiting gradient updates and head-wise NT-Xent contrastive loss to prevent overfitting on small datasets, outperforming existing methods on BEIR benchmarks.

This paper introduces an Information Bottleneck Adapter (IB-Adapter) for Vision-Language-Action (VLA) models to improve robustness against unseen visual disturbances without requiring extra data, achieving up to 30% improvement with minimal parameter overhead.

Microsoft’s new Teams TypeScript SDK lets developers expose existing AI agents or bots as Teams apps with a three-line HTTP server adapter, enabling shared agent logic across Slack and Teams.