Tracked topic
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct As recommender systems transition toward agentic, multi-turn conversational interfaces , evaluation paradigms have struggled to keep pace. Current benchmarks often rely on " LLM-as…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Terminal-using agents have quickly become the most popular downstream application of language models (LMs). Despite their prevalence, relatively little academic work has examined…
…Thanks for sharing!! Probably unrelated question, the graph shows Qwen3 1.7B has 2B parameters. Is it correct? · Model page show that's why we made this msitake But it's because…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct We introduce Nemotron-Labs-Diffusion, a tri-mode language model (LM) that unifies AR, diffusion, and self-speculation decoding within a single architecture. Trained…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large Reasoning Models (LRMs) have achieved remarkable progress thanks to Reinforcement Learning with Verifiable Rewards (RLVR) on Chain-of-Thoughts (CoTs). However, since long…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Vision-language-action (VLA) models are built on the premise that semantic understanding from pretrained language or vision-language backbones should guide robot action…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct We introduce PaddleOCR-VL-1.6, an upgraded compact document parsing model built upon PaddleOCR-VL-1.5. Although PaddleOCR-VL-1.5 establishes…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct There are two main Parameter-Efficient Fine-Tuning (PEFT) techniques for Large Language Models (LLMs). While Low-Rank Adaptation ( LoRA ) introduces additional weights between…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Robotic manipulation requires models that generate executable actions while anticipating and evaluating their future consequences before physical execution. We present τ_0-World Model…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Enterprise property graphs vary widely in schema structure, internal terminology, domain assumptions, governance constraints, and user interaction patterns. A deployment-relevant Text2Cypher benchmark therefore…