…the zero-shot baseline—a nice quantification of an underreported risk in small-corpus fine-tuning of compact agents (ReAct hits higher peaks but with far higher variance and token cost). The…
…Advancing PRMs for Reinforcing Code Agents (2026) ClawEnvKit: Automatic Environment Generation for Claw-Like Agents (2026) ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents (2026) SWE-Next: Scalable Real…
…study, further validate the effectiveness of the proposed methods and align with the newly introduced quantitative image-based metrics. Our code is available at https://github.com/GeorgeTsoumplekas/Prompt-Aware-Multi-LoRA…
…LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices Published on Jun 5 Submitted by Ernests Lavrinovics on Jun 9 AAU-NLP Authors: Ernests Lavrinovics , , , , , Abstract SigmaScale learns auxiliary…
…A case study of the steering interface generates music carrying taste associations (sonic seasoning), with genuine but bounded control for a subset of attributes. These results make a compact, quantized runtime with…
…Recipe for Repository-Level Code Understanding (2026) MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline (2026) More Human, More Efficient: Aligning Annotations with Quantized SLMs (2026) GenomeQA: Benchmarking…
…To address these limitations, we propose BrainJanus, the first unified brain model that integrates brain, vision, and language within a single framework. Specifically, we introduce a Unified Brain Tokenizer to quantize continuous…
…without updating model parameters, raising Llama-3.3-70B's timely recall rate from 26.7 to 57.4. Our dataset and code are available at https://lhannnn.github.io/agentic-abstention…
…0.1 bpp) FRAPPE-Image provides higher perceptual quality than AVIF with 47 times faster encoding, making it capable of real-time 1080p, 30fps CPU-only encoding . Our code and pre-trained…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement Learning (RL) with verifiable environments has emerged as a powerful approach for enhancing the reasoning capabilities of Large Language Models (LLMs). While prior…