Ax Zhenyuan Huang, Hui Zhang, Wenzhong Tang, Haijun Yang 3/18/2026

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD

Federated learning approach addressing data distribution shifts using causal inference for out-of-distribution robustness.

Ax Niranjan Chebrolu, Kokil Jaidka, Gerard Christopher Yeo 3/18/2026

From Passive to Persuasive: Localized Activation Injection for Empathy and Negotiation

Method for steering LLM behavior through activation injection to enhance empathy and negotiation capabilities using attribution patching.

Ax Yuxuan Gu, Weimin Bai, Yifei Wang, Weijian Luo, He Sun 3/18/2026

Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning

Research on masked auto-regressive diffusion models optimizing inference speed for reinforcement learning applications through architectural improvements.

Ax Alper Y{\i}ld{\i}r{\i}m, \.Ibrahim Y\"uceda\u{g} 3/18/2026

Language as a Wave Phenomenon: Semantic Phase Locking and Interference in Neural Networks

PRISM complex-valued encoder with phase-based spectral filtering shows semantic relationships correlate with phase angles in neural sequence models.

Ax Zhou Tao, Shida Wang, Yongxiang Hua, Haoyu Cao, Linli Xu 3/18/2026

DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model

DiG differential grounding proxy task enhances fine-grained visual perception in MLLMs by learning differences between image pairs for precise spatial reasoning.

Ax Raktim Gautam Goswami, Amir Bar, David Fan, Tsung-Yen Yang, Gaoyue Zhou, Prashanth Krishnamurthy, Michael Rabbat, Farshad Khorrami, Yann LeCun 3/18/2026

World Models for Learning Dexterous Hand-Object Interactions from Human Videos

DexWM world model predicts latent environmental states for fine-grained dexterous hand-object interactions from human videos.

Ax Ellie Y. Cheng, Logan Weber, Tian Jin, Michael Carbin 3/18/2026

Sharing State Between Prompts and Programs

Programming abstraction for shared state between prompts and programs, enabling interoperability between natural language and traditional programming with LLMs.

Ax Ignacio Heredia, \'Alvaro L\'opez Garc\'ia, Fernando Aguilar G\'omez, Diego Aguirre, Caterina Alarc\'on Mar\'in, Khadijeh Alibabaei, Lisana Berberi, Miguel Caballer, Amanda Calatrava, Pedro Castro, Alessandro Costantini, Mario David, Jaime D\'iez Stefan Dlugolinsky, Borja Esteban Sanchis, Giacinto Donvito, Leonhard Duda, Sa\'ul Fernandez, Andr\'es Heredia Canales, Valentin Kozlov, Sergio Langarita, Jo\~ao Machado, Germ\'an Molt\'o, Daniel San Mart\'in, Martin \v{S}eleng, Giang Nguyen, Marcin P{\l}\'ociennik, Marta Obreg\'on Ruiz, Susana Rebolledo Ruiz, Vicente Rodriguez, Judith S\'ainz-Pardo D\'iaz, Viet Tran 3/18/2026

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research

AI4EOSC federated cloud platform for AI in scientific research with reproducible ML lifecycle management across distributed e-Infrastructures.

Ax Junli Liang, Pengfei Zhou, Wangqiu Zhou, Wenjie Qing, Qi Zhao, Ziwen Wang, Qi Song, Xiangyang Li 3/18/2026

SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering

SentGraph hierarchical sentence graph enables multi-hop retrieval-augmented generation by constructing coherent evidence chains from multiple documents for complex QA.

Ax Adib Sakhawat, Tahsin Islam, Takia Farhin, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan 3/18/2026

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias

Audits political alignment in 26 LLMs using psychometric inventories and news bias labeling across prompt variants to evaluate behavioral bias.

Ax Yu Wang, Yi Wang, Rui Dai, Yujie Wang, Kaikui Liu, Xiangxiang Chu, Yansheng Li 3/18/2026

Urban Socio-Semantic Segmentation with Vision-Language Reasoning

Vision-language reasoning for urban socio-semantic segmentation from satellite imagery, distinguishing socially-defined categories beyond physical attributes.

Ax Vatsal Venkatkrishna, Indraneil Paul, Iryna Gurevych 3/18/2026

Aletheia: What Makes RLVR For Code Verifiers Tick?

Ablates RLVR pipeline components for code verifiers: intermediate thinking traces, negative samples, and on-policy training to reduce adoption cost barriers.

Ax Kai Wittenmayer, Sukrut Rao, Amin Parchami-Araghi, Bernt Schiele, Jonas Fischer 3/18/2026

CFM: Language-aligned Concept Foundation Model for Vision

CFM language-aligned concept foundation model decomposes vision model representations into human-interpretable concepts with spatial grounding for diverse downstream tasks.

Ax Shinwoo Park, Yo-Sub Han 3/18/2026

From Intuition to Calibrated Judgment: A Rubric-Based Expert-Panel Study of Human Detection of LLM-Generated Korean Text

LREAD rubric-based framework with three-phase expert study calibrates human detection of LLM-generated Korean text to improve attribution accuracy beyond surface-level assessment.

Ax Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Yiqiao Huang, Ivor Tsang, Yang You 3/18/2026

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models

Time-annealed perturbation sampling for diffusion language models enables diverse generation across semantic and reasoning paths by controlling temporal denoising.

Ax Weiming Sheng, Jinlang Wang, Manuel Barros, Aldrin Montana, Jacopo Tagliabue, Luca Bigon 3/18/2026

Building a Correct-by-Design Lakehouse. Data Contracts, Versioning, and Transactional Pipelines for Humans and Agents

Bauplan code-first lakehouse with data contracts, versioning, and transactional pipelines for concurrent AI/analytics workloads supporting both human and agent workflows.

Ax William Lugoloobi, Thomas Foster, William Bankes, Chris Russell 3/18/2026

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

Predicts LLM success from pre-generation internal activations using linear probes to enable efficient inference routing on math and coding tasks.

Ax Yixuan Shen, Peng He, Honglu Liu, Jinxuan Fan, Yuyang Ji, Tingting Li, Tianlong Chen, Kaidi Xu, Feng Liu 3/18/2026

Can Multimodal LLMs See Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos

Benchmark evaluating multimodal LLMs' ability to understand pedagogical reasoning and science instruction in K-12 classroom videos with model-based explanations.

Ax Shan Yang, Yang Liu 3/18/2026

Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning

Descent-guided policy gradient method addresses cross-agent noise scaling in multi-agent reinforcement learning, improving sample complexity from O(N/ε) to sublinear bounds.

Ax Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li 3/18/2026

KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning

KEEP system optimizes KV-cache memory management for memory-augmented LLMs in embodied planning, reducing prompt length and prefill latency for long-horizon tasks.

Ax Magda Dubois, Cozmin Ududec, Christopher Summerfield, Lennart Luettgau 3/18/2026

Ask don't tell: Reducing sycophancy in large language models

Experimental study of sycophancy in LLMs—tendency to favor user-affirming over critical responses—with controlled interventions to identify and prevent the alignment failure.

Ax Shravani Hariprasad 3/18/2026

Prompt Sensitivity and Answer Consistency of Small Open-Source Language Models for Clinical Question Answering in Low-Resource Healthcare

Evaluates 5 open-source small LLMs (Gemma, Phi, Llama, Mistral, Meditron) for clinical QA reliability and prompt sensitivity in low-resource healthcare settings.

Ax Pei Yang, Wanyi Chen, Asuka Yuxi Zheng, Xueqian Li, Xiang Li, Haoqin Tu, Jie Xiao, Yifan Pang, Dongdong Zhang, Fuqiang Li, Alfred Long, Lynn Ai, Eric Yang, Bill Shi 3/18/2026

AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis

AOI: Trainable multi-agent LLM framework for autonomous cloud diagnosis and SRE automation learning from failed trajectories.

Ax Jialong Chen, Xander Xu, Hu Wei, Chuan Chen, Bing Zhao 3/18/2026

SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

SWE-CI: Benchmark evaluating LLM agent capabilities in continuous integration for long-term codebase maintenance and feature iterations.

Ax Hengshuai Yao, Xing Chen, Ahmed Murtadha, Guan Wang 3/18/2026

Thin Keys, Full Values: Reducing KV Cache via Low-Dimensional Attention Selection

Optimizes KV cache in transformers by reducing key dimensionality to log(N) while preserving value information for efficiency.

Ax Mohammed Baharoon, Thibault Heintz, Siavash Raissi, Mahmoud Alabbad, Mona Alhammad, Hassan AlOmaish, Sung Eun Kim, Oishi Banerjee, Pranav Rajpurkar 3/18/2026

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation

CRIMSON: Clinically-grounded LLM metric for evaluating chest X-ray report generation on diagnostic correctness and patient safety.

Ax Yuanyuan Sun, Timothy Parker, Lara Gierschmann, Sana Shams, Teo Canmetin, Mathieu Duteil, Rokas Gipi\v{s}kis, Ze Shen Chin 3/18/2026

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem

Systematic framework defining boundaries between AI models and AI systems for regulatory and policy compliance purposes.

Ax Ali Raza, Gurang Gupta, Nikolay Matyunin, Jibesh Patra 3/18/2026

Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Models

Amnesia: Adversarial semantic activation steering technique for controlling harmful content generation in large language models.

Ax Alejandro Pradas-Gomez, Arindam Brahma, Ola Isaksson 3/18/2026

DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice

DUCTILE: Agentic LLM orchestration framework for automating engineering analysis and tool coordination in product development.

Ax Omar Coser 3/18/2026

ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics

ELISA: Interpretable AI agent combining scGPT embeddings with BioBERT for expression-grounded discovery in single-cell genomics.

Ax Reva Schwartz, Gabriella Waters 3/18/2026

Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker's Dilemma

FRAME: Systematic framework for real-world AI evaluation generating contextual evidence on model behavior in organizational environments.

Ax Kun Chen, Qingchao Kong, Zhao Feifei, Wenji Mao 3/18/2026

APEX-Searcher: Augmenting LLMs' Search Capabilities through Agentic Planning and Execution

APEX-Searcher: LLM agent with agentic planning for multi-hop retrieval-augmented generation to enhance complex question answering.

Ax Chih-Ning Chen, Jen-Cheng Hou, Hsin-Min Wang, Shao-Yi Chien, Yu Tsao, Fan-Gang Zeng 3/18/2026

LLM-Guided Reinforcement Learning for Audio-Visual Speech Enhancement

Audio-visual speech enhancement using RL with LLM-based interpretable reward model for perceptual quality optimization.

Ax Sumedha Chugh, Ranjitha Prasad, Nazreen Shah 3/18/2026

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations

arXiv: Post-hoc model-agnostic explanation method using perturbation selection for uncertainty-aware surrogate model approximations.

Ax Timo Hei{\ss}, Coco B\"ogel, Bernd Bischl, Giuseppe Casalicchio 3/18/2026

Analyzing Error Sources in Global Feature Effect Estimation

arXiv: Analyzes error sources in global feature effect estimation (PD, ALE plots) for black-box model interpretation.

Ax Madhulatha Mandarapu, Sandeep Kunkunuru 3/18/2026

Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database

arXiv: Open-source biomedical knowledge graphs (Pathways, Clinical Trials, Drug-Gene) with AI agent access via Samyama database.

Ax Yitong Zhang, Chengze Li, Ruize Chen, Guowei Yang, Xiaoran Jia, Yijie Ren, Jia Li 3/18/2026

To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation

arXiv: Addresses LLM limitations in private-library code generation; shows API documentation retrieval alone is insufficient.

Ax Bo Jiang 3/18/2026

HindSight: Evaluating LLM-Generated Research Ideas via Future Impact

arXiv: HindSight framework evaluates LLM-generated research ideas by matching against future publications and citation impact.

Ax Gal Dalal, Assaf Hallak, Gal Chechik, Yftah Ziser 3/18/2026

More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search

arXiv: Analyzes how wider beam search can hurt LLM output quality due to overestimation bias in noisy scoring.

Ax Seth Karten, Jake Grigsby, Tersoo Upaa Jr, Junik Bae, Seonghun Hong, Hyunyoung Jeong, Jaeyoon Jung, Kun Kerdthaisong, Gyungbo Kim, Hyeokgi Kim, Yujin Kim, Eunju Kwon, Dongyu Liu, Patrick Mariglia, Sangyeon Park, Benedikt Schink, Xianwei Shi, Anthony Sistilli, Joseph Twin, Arian Urdu, Matin Urdu, Qiao Wang, Ling Wu, Wenli Zhang, Kunsheng Zhou, Stephanie Milani, Kiran Vodrahalli, Amy Zhang, Fei Fang, Yuke Zhu, Chi Jin 3/18/2026

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale

arXiv: PokeAgent benchmark for multi-agent AI decision-making with partial observability, game theory, and long-horizon planning in Pokemon RPG.

Ax Vasiliy A. Es'kin, Egor V. Ivanov 3/18/2026

Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask

arXiv: Physics-informed neural networks for simulating EUV electromagnetic wave diffraction in lithography. Domain-specific neural networks.

Ax Lin Lawrence Guo, Santiago Eduardo Arciniegas, Joseph Jihyung Lee, Adam Paul Yan, George Tomlinson, Jason Fries, Lillian Sung 3/18/2026

Tokenization Tradeoffs in Structured EHR Foundation Models

arXiv: Analyzes tokenization design choices for foundation models trained on structured electronic health records.

Ax Guangchen Lan 3/18/2026

Alternating Reinforcement Learning with Contextual Rubric Rewards

Reinforcement learning framework extending RLHF with multi-dimensional contextual rubric rewards and alternating optimization.

Ax Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu, John C. S. Lui 3/18/2026

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing

Inference-time steering mechanism for frozen LLMs using adaptive prompt routing to enable evolving safety alignment without retraining.

Ax Ningkang Peng, Qianfeng Yu, Xiaoqian Peng, Linjing Qian, Yafei Liu, Canran Xiao, Xinyu Lu, Tingyu Lu, Zhichao Zheng, Yanhui Gu 3/18/2026

How to Achieve Prototypical Birth and Death for OOD Detection?

Prototype-based OOD detection method with dynamic prototype count adaptation based on category complexity.

Ax Yue Chang, Guangsen Lin, Jyun Jie Chuang, Shunqi Liu, Xinkui Li, Yaozheng Li 3/18/2026

A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs

Federated learning framework combining knowledge graphs and temporal transformers for early sepsis prediction across multi-center ICUs.

Ax Ruixi Lin 3/18/2026

Discovering the Hidden Role of Gini Index In Prompt-based Classification

Study of Gini Index role in detecting and debiasing class accuracy disparities in prompt-based classification tasks.

Ax Liu Hung Ming 3/18/2026

Beyond Reward Suppression: Reshaping Steganographic Communication Protocols in MARL via Dynamic Representational Circuit Breaking

Defense mechanism against steganographic collusion in multi-agent RL using dynamic representational circuit breaking at optimization substrate.

Ax Peiyu Yang, Naveed Akhtar, Jiantong Jiang, Ajmal Mian 3/18/2026

Attribution-Guided Model Rectification of Unreliable Neural Network Behaviors

Attribution-guided framework using rank-one model editing to rectify unreliable neural network behavior on non-robust features.

Ax Yongzhong Xu 3/18/2026

Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales

Analysis of transformer training dynamics via spectral edge detection showing parameter updates concentrate in few coherent directions.