Technology

* Equal contribution ✉ Corresponding author Technical Report Seedance 2.0: Advancing Video Generation for World Complexity Team Seedance Arxiv, 2026 PDF ICLR 2026 Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models Yueyan Li*, Chenggong Zhao, Zeyuan Zhang, Caixia Yuan✉, Xiaojie Wang International Conference on Learning Representations (ICLR), 2026 PDF Code arxiv Sparse Model Diffing via Dynamic Circuits Yueyan Li*, Wenhao Gao, Caixia Yuan✉, Xiaojie Wang ArXiv, 2026 PDF Code Technical Report AutoGLM: Autonomous Foundation Agents for GUIs Team AutoGLM Arxiv, 2024 PDF Code EMNLP 2024 ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline Yifan Xu*, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Zhao Wenyi, Jie Tang, Yuxiao Dong✉ Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 PDF Code Technical Report ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools Team GLM Arxiv, 2024 PDF Code ICML 2026 EntroKV: An Entropy-aware Memory Manager for KV cache Compression Wenhao Gao*, Haoran Cao, Yueyan Li, Caixia Yuan, Xiaojie Wang✉ ICML, 2026 Code

A curated overview of LLM reasoning, post-training, reinforcement learning, and related resources.

A running collection of notes, papers, and benchmarks around LLM agents, agentic RL, GUI agents, and deep research systems.

A curated reading list on multimodal interpretability, information flow, diffusion models, and related research threads.

An overview of mechanistic interpretability directions, including circuit discovery, SAEs, steering vectors, and model diffing.

🎶Code in this post can be found at the jupyter notebook in my “saeExploration” repo. Find features that reflect positive emotions To find the features related to a specific emotion, I write five sentences containing the key words for each emotion. For example, for happy emotions I have: 1 2 3 4 5 prompt_happy = ["I'll be on a vacation tomorrow and I'm so happy.", "My mombrings home a new puppy and I'm so happy.", "I'm so glad I got the job I wanted.", "I feel so happy when I'm with my friends.", "I'm so happy I got the promotion I wanted.",] I choose to look for features that reflect happiness and sadness. Apart from that, I also wonder if the feature that reflects excitedness has something to do with the one that reflects happiness (they are alike from the semantic level at least.) ...

⚠️ Warnings This post was written when I first delved into this area, and it hasn’t been updated for a long time. Thus there might be a lot of errors. I’m still interested in interpretability and its applications. I’ll write something new and interesting later ~ 💡 This post is accompanied with another post, which contains specific content in this area. ...