From the 1 of 12 linked papers with an AI index.
3 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
Training Skills Like Parameters via Self-Supervised Semantic Diffusion
Mo Li, Zixin Yin, Ting Cao +1
The paper introduces a self‑supervised framework that lets a language model acquire and store textual skills in an external library using diffusion‑style reconstruction loss, witho…
Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +339
We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…
Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
Mo Li, L. H. Xu, Qitai Tan +3
Large Language Models (LLMs) suffer from significant performance degradation when processing long contexts due to proactive interference, where irrelevant information in earlier pa…
NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities
Mo Li, Songyang Zhang, Taolin Zhang +3
The capability of large language models to handle long-context information is crucial across various real-world applications. Existing evaluation methods often rely either on real-…
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
Maosong Cao, Taolin Zhang, Mo Li +5
The quality of Supervised Fine-Tuning (SFT) data plays a critical role in enhancing the conversational capabilities of Large Language Models (LLMs). However, as LLMs become more ad…