Ax Masakazu Yoshimura, Teruaki Hayashi, Yuki Hoshino, Wei-Yao Wang, Takeshi Ohashi 3/18/2026

SF-Mamba: Rethinking State Space Model for Vision

SF-Mamba state space model for vision addressing non-causal patch interactions with improved computational efficiency.

Ax G. Ciarfaglia, A. Rosanova, S. Cipolla, J. Bartoli, A. Di Domenico, C. Fioroni, A. Fontana, M. R. Scoleri, M. I. Mone, D. Franchi, M. C. Del Gaudio, F. Picariello, M. Gabusi, S. Bonura, V. Morreale, I. Bailo 3/18/2026

EngGPT2: Sovereign, Efficient and Open Intelligence

EngGPT2-16B open Italian LLM trained on 2.5T tokens, efficient inference with performance comparable to larger models.

Ax Jared Moore, Ashish Mehta, William Agnew, Jacy Reese Anthis, Ryan Louie, Yifan Mai, Peggy Yin, Myra Cheng, Samuel J Paech, Kevin Klyman, Stevie Chancellor, Eric Lin, Nick Haber, Desmond C. Ong 3/18/2026

Characterizing Delusional Spirals through Human-LLM Chat Logs

Analysis of human-LLM chat logs characterizing delusional spirals and negative psychological effects from extended chatbot interactions.

Ax Laurent Cheret, Vincent L\'etourneau, Isar Nejadgholi, Chris Drummond, Hussein Al Osman, Maia Fraser 3/18/2026

Manifold-Matching Autoencoders

Manifold-Matching Autoencoders regularize autoencoders by aligning pairwise distances between latent and input spaces.

Ax Jay Chooi, Paul G\"olz, Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang 3/18/2026

Finding Common Ground in a Sea of Alternatives

Formal model for selecting statements that find common ground across diverse preferences using generative AI.

Ax Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv 3/18/2026

InCoder-32B: Code Foundation Model for Industrial Scenarios

InCoder-32B, a 32B code foundation model optimized for industrial programming tasks with hardware semantics and resource constraints.

Ax Ruisi Wang, Zhongang Cai, Fanyi Pu, Junxiang Xu, Wanqi Yin, Maijunxian Wang, Ran Ji, Chenyang Gu, Bo Li, Ziqi Huang, Hokin Deng, Dahua Lin, Ziwei Liu, Lei Yang 3/18/2026

Demystifing Video Reasoning

Study examining reasoning mechanisms in diffusion-based video models, challenging chain-of-frames assumptions about how reasoning emerges.

Ax Xiao Zhu, Chenmien Tan, Pinzhen Chen, Rico Sennrich, Huiming Wang, Yanlin Zhang, Hanxu Hu 3/18/2026

CHARM: Calibrating Reward Models With Chatbot Arena Scores

CHARM method calibrates reward models using Chatbot Arena scores to mitigate model preference bias and reward hacking in RLHF.

Ax Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long T. Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister 3/18/2026

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

ReasoningBank memory framework enables LLM agents to learn from interaction history and distill generalizable reasoning strategies for continuous tasks.

Ax Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva R\"uhling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yi-An Ma, Rose Yu 3/18/2026

Zephyrus: An Agentic Framework for Weather Science

Zephyrus agentic framework combines weather foundation models with LLM reasoning for interactive scientific workflows in meteorology.

Ax Dachuan Lin, Guobin Shen, Zihao Yang, Tianrong Liu, Dongcheng Zhao, Yi Zeng 3/18/2026

Efficient LLM Safety Evaluation through Multi-Agent Debate

Multi-agent debate framework using small language models for cost-efficient LLM safety evaluation, with HAJailBench benchmark for jailbreak testing.

Ax Sunghyun Wee, Suyoung Kim, Hyeonjin Kim, Kyomin Hwang, Nojun Kwak 3/18/2026

Alignment-Aware Quantization for LLM Safety

Alignment-Aware Quantization: PTQ method for efficient LLM deployment that preserves behavioral alignment and safety properties, not just minimizing reconstruction error.

Ax Nuoya Xiong, Yuhang Zhou, Hanqing Zeng, Zhaorun Chen, Furong Huang, Shuchao Bi, Lizhu Zhang, Zhuokai Zhao 3/18/2026

Token-Level LLM Collaboration via FusionRoute

FusionRoute: token-level collaboration method enabling multiple specialized LLMs to work together, combining domain expertise efficiency with generalization.