Ax Kaifeng Wu, Junyan Wu, Qiang Liu, Jiarui Zhang, Wen Xu 3/2/2026

Toward General Semantic Chunking: A Discriminative Framework for Ultra-Long Documents

Discriminative framework for semantic chunking of ultra-long documents improving topic segmentation and retrieval.

Ax Rakshita Goel, S Pranav Kumar, Anmol Agrawal, Divyan Poddar, Pratik Narang, Dhruv Kumar 3/2/2026

Domain-Partitioned Hybrid RAG for Legal Reasoning: Toward Modular and Explainable Legal AI for India

Domain-partitioned hybrid RAG for legal document reasoning across Indian statutes, codes and precedents.

Ax Qizhi Wang 3/2/2026

Democratizing GraphRAG: Linear, CPU-Only Graph Retrieval for Multi-Hop QA

SPRIG democratizes GraphRAG with CPU-only linear-time pipeline using NER co-occurrence graphs and PPR for multi-hop QA.

Ax Weixi Lin 3/2/2026

Higress-RAG: A Holistic Optimization Framework for Enterprise Retrieval-Augmented Generation via Dual Hybrid Retrieval, Adaptive Routing, and CRAG

Higress-RAG optimizes enterprise RAG with dual hybrid retrieval, adaptive routing and CRAG to reduce hallucination.

Ax Yueran Hou, Peilei Jia, Zihan Sun, Qihang Lu, Wenbing Yang, Yingming Gao, Ya Li, Jun Gao 3/2/2026

Hello-Chat: Towards Realistic Social Audio Interactions

Hello-Chat end-to-end audio language model for realistic social interactions with emotional resonance.

Ax Jiazheng Quan, Xiaodong Li, Bin Wang, Guo An, Like Liu, Degen Huang, Lin Liu, Chengbin Hou 3/2/2026

Learning to Generate Secure Code via Token-Level Rewards

Vul2Safe framework uses token-level RL rewards and LLM self-reflection for secure code generation from LLMs.

Ax Varun Gopal, Rishabh Jain, Aradhya Mathur, Nikitha SR, Sohan Patnaik, Sudhir Yarram, Mayur Hemani, Balaji Krishnamurthy, Mausoom Sarkar 3/2/2026

DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation

DesignSense dataset and reward model framework for graphic layout generation using human preference learning.

Ax Alejandro Rodriguez Dominguez 3/2/2026

Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning

Develops unified theory showing human supervision as information bottleneck explaining error floors in LLM training from human feedback.

Ax Gaurav Kamath, Sreenath Madathil, Sebastian Schuster, Marie-Catherine de Marneffe, Siva Reddy 3/2/2026

Humans and LLMs Diverge on Probabilistic Inferences

Study showing divergence between human and LLM behavior on probabilistic inference tasks requiring non-deterministic reasoning.

Ax Aishwarya Sarkar, Sayan Ghosh, Nathan Tallent, Aman Chadha, Tanya Roosta, Ali Jannesari 3/2/2026

Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents

Rudder: LLM agent-based prefetching steering for distributed GNN training to optimize irregular communication patterns.

Ax Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong 3/2/2026

Flowette: Flow Matching with Graphette Priors for Graph Generation

Flowette: flow matching generative model for graphs with recurring motifs using graph neural network transformers.

Ax Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu 3/2/2026

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation

BRIDGE: data augmentation method mitigating bias amplification in automated scoring systems for English Language Learners.

Ax Xiang Ao 3/2/2026

SDMixer: Sparse Dual-Mixer for Time Series Forecasting

SDMixer: sparse dual-stream framework for multivariate time series forecasting handling multi-scale features and noise.

Ax Abhishek Dalvi, Vasant Honavar 3/2/2026

Hyperdimensional Cross-Modal Alignment of Frozen Language and Image Models for Efficient Image Captioning

Hyperdimensional alignment method for frozen vision-language models enabling efficient image captioning without fine-tuning.

Ax Hiroshi Sasaki 3/2/2026

Pseudo Contrastive Learning for Diagram Comprehension in Multimodal Models

Pseudo contrastive learning method to improve diagram comprehension in multimodal models through fine-grained structural sensitivity.

Ax Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li 3/2/2026

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

KEEP: KV-cache-centric memory management system for efficient embodied planning with memory-augmented LLMs.

Ax Rafid Ishrak Jahan, Fahmid Shahriar Iqbal, Sagnik Ray Choudhury 3/2/2026

LFQA-HP-1M: A Large-Scale Human Preference Dataset for Long-Form Question Answering

LFQA-HP-1M: 1.3M human preference annotations dataset for long-form QA with quality rubrics outperforming LLM evaluators.

Ax Yu Zhu, Kai Yang 3/2/2026

LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning

LLM-driven synthesis of multi-turn task-oriented dialogue datasets for evaluating LLM reasoning in realistic scenarios.

Ax Kejing Yin, Haizhou Xu, Wenfang Yao, Chen Liu, Zijie Chen, Yui Haang Cheung, William K. Cheung, Jing Qin 3/2/2026

When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion

Benchmark study on multimodal learning fusion of EHR and chest X-rays for clinical decision support under missingness and fairness constraints.

Ax Shibo Hong, Boxian Ai, Jun Kuang, Wei Wang, FengJiao Chen, Zhongyuan Peng, Chenhao Huang, Yixin Cao 3/2/2026

DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

DLEBench: evaluation benchmark for instruction-based image editing models focusing on small object editing capabilities.

Ax Zhihao Ding, Jinming Li, Ze Lu, Jieming Shi 3/2/2026

FlexGuard: Continuous Risk Scoring for Strictness-Adaptive LLM Content Moderation

FlexGuard: continuous risk scoring framework for LLM content moderation with adaptive strictness levels across platforms.

Ax Haoran Zhang, Dongjun Kim, Seohyeon Cha, Haris Vikalo 3/2/2026

FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA

FedRot-LoRA addresses rotational misalignment in federated fine-tuning of LLMs on decentralized data to reduce aggregation error.

Ax Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming, Xiong, Silvio Savarese, Huan Wang 3/2/2026

AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech

AudioCapBench: benchmark for evaluating audio captioning of multimodal LLMs across sound, music, speech with 1,000 samples and LLM-as-Judge evaluation.

Ax Haowen Zhu, Ning Yin, Xiaogen Zhou 3/2/2026

3D Modality-Aware Pre-training for Vision-Language Model in MRI Multi-organ Abnormality Detection

MedMAP pre-training framework for vision-language models on 3D MRI data with modality-specific alignment for multi-organ abnormality detection.

Ax Wei Luo, Yangfan Ou, Jin Deng, Zeshuai Deng, Xiquan Yan, Zhiquan Wen, Mingkui Tan 3/2/2026

ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models

ProtoDCS framework for test-time adaptation of vision-language models under distribution shift in open-set scenarios.

Ax Zitong Xu, Yuqing Wu, Yue Zhao 3/2/2026

TRIZ-RAGNER: A Retrieval-Augmented Large Language Model for TRIZ-Aware Named Entity Recognition in Patent-Based Contradiction Mining

TRIZ-RAGNER applies retrieval-augmented LLMs for named entity recognition in patent contradiction mining for systematic innovation.

Ax Yongzhong Xu 3/2/2026

Optimizer-Induced Low-Dimensional Drift and Transverse Dynamics in Transformer Training

Analysis of transformer training geometry showing parameter updates organize into dominant drift direction with oscillatory transverse dynamics.

Ax Wenzhe Zhao, Yang Zhao, Ganchao Liu, Zhiyu Jiang, Dandan Ma, Zihao Li, Xuelong Li 3/2/2026

SAGE-LLM: Towards Safe and Generalizable LLM Controller with Fuzzy-CBF Verification and Graph-Structured Knowledge Retrieval for UAV Decision

SAGE-LLM architecture combining LLMs with formal safety verification (Fuzzy-CBF) and graph-structured knowledge for safe UAV autonomous decision-making.

Ax Hariz Yet, Nguyen Thanh Tam, Mao V. Ngo, Lim Yi Shen, Lin Wei, Jihong Park, Binbin Chen, Tony Q. S. Quek 3/2/2026

SLA-Aware Distributed LLM Inference Across Device-RAN-Cloud

System design for distributed LLM inference across device, RAN-edge, and cloud tiers with latency constraints for 5G embodied AI applications.

Ax Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim 3/2/2026

From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning

Agent-centric benchmarking paradigm where autonomous agents dynamically generate, validate, and solve problems to evaluate LLM reasoning capabilities.

Ax Hanping Zhang, Yuhong Guo 3/2/2026

Bridging Dynamics Gaps via Diffusion Schr\"odinger Bridge for Cross-Domain Reinforcement Learning

BDGxRL uses Diffusion Schrödinger Bridge to enable cross-domain reinforcement learning policy transfer when target domain interaction is unavailable.

Ax Aleksandr Ananikian (Saint-Petersburg University), Daniil Drozdov (Saint-Petersburg University), Konstantin Yakovlev (Saint-Petersburg University) 3/2/2026

UPath: Universal Planner Across Topological Heterogeneity For Grid-Based Pathfinding

UPath proposes learning-based heuristics for A* pathfinding on grid maps using deep neural networks across heterogeneous topologies.

Ax Tiantong Wang, Xinyu Yan, Tiantong Wu, Yurong Hao, Yong Jiang, Fei Huang, Wei Yang Bryan Lim 3/2/2026

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models

MPU framework for privacy-preserving machine unlearning in LLMs without sharing server parameters or client forget sets.

Ax Tadahisa Okuda, Shohei Shimizu, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma 3/2/2026

Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Research on applying causal discovery algorithms to real-world longitudinal data with institutional workflow constraints.

Ax Tianci Tang, Tielong Cai, Hongwei Wang, Gaoang Wang 3/2/2026

See, Act, Adapt: Active Perception for Unsupervised Cross-Domain Visual Adaptation via Personalized VLM-Guided Agent

Sea² framework using vision-language models and autonomous agents for unsupervised cross-domain visual adaptation without fine-tuning on target data.

Ax Xiang Li, Nan Jiang, Yuheng Zhang 3/2/2026

Beyond State-Wise Mirror Descent: Offline Policy Optimization with Parameteric Policies

Theoretical research on offline reinforcement learning with general function approximation and parametric policies, extending beyond finite action spaces.

Ax George Papadopoulos, George A. Vouros 3/2/2026

Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective

Q-learning approach for learning safe policies from expert demonstrations with unknown constraints and non-observable costs.

Ax Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu 3/2/2026

FedNSAM:Consistency of Local and Global Flatness for Federated Learning

Federated learning optimization achieving consistency between local and global model flatness under data heterogeneity.

Ax Xuhui Dou, Hayretdin Bahsi, Alejandro Guerra-Manzanares 3/2/2026

Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning

Continual fine-tuning method for LLM-based vulnerability detection addressing catastrophic forgetting under temporal distribution shift.

Ax Wei Lian, Alejandro Guerra-Manzanares 3/2/2026

MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks

Multi-layer intrusion detection framework with incremental learning for Industrial IoT networks handling novel cyber threats.

Ax Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu 3/2/2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Adversarial benchmark testing MLLM visual reasoning and grounding capabilities in referring expression comprehension tasks.

Ax Pramit Saha, Mohammad Alsharid, Joshua Strong, J. Alison Noble 3/2/2026

Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals

Multi-agent cascaded framework for breast ultrasound screening reducing unnecessary biopsy referrals through selective decision-making.

Ax Jiaqi Tang, Shaoyang Zhang, Xiaoqi Wang, Jiaying Zhou, Yang Liu, Qingchao Chen 3/2/2026

The Geometry of Transfer: Unlocking Medical Vision Manifolds for Training-Free Model Ranking

Transferability estimation method for selecting optimal medical foundation models for segmentation without retraining.

Ax Dongxu Zhang, Yiding Sun, Pengcheng Li, Yumou Liu, Hongqiang Lin, Haoran Xu, Xiaoxuan Mu, Liang Lin, Wenbiao Yan, Ning Yang, Chaowei Fang, Juanjuan Zhao, Jihua Zhu, Conghui He, Cheng Tan 3/2/2026

PointCoT: A Multi-modal Benchmark for Explicit 3D Geometric Reasoning

Multimodal benchmark evaluating MLLMs on explicit 3D geometric reasoning with point clouds, exposing geometric hallucinations.

Ax Oscar Hill, Mateo Espinosa Zarlenga, Mateja Jamnik 3/2/2026

Hierarchical Concept-based Interpretable Models

Hierarchical concept embedding models improving neural network interpretability through human-readable concept representations.

Ax Guy Hadad, Shadi Iskander, Oren Kalinsky, Sofia Tolmach, Ran Levy, Haggai Roitman 3/2/2026

HotelQuEST: Balancing Quality and Efficiency in Agentic Search

Benchmark for agentic search systems balancing quality and efficiency, addressing underspecified user preferences in LLM-powered retrieval.

Ax Magda Dubois, Cozmin Ududec, Christopher Summerfield, Lennart Luettgau 3/2/2026

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

Controlled experimental studies identifying what triggers and prevents sycophancy in LLMs, an alignment failure in advisory contexts.

Ax Florent Delgrange 3/2/2026

Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments

Vision for foundation world models enabling autonomous agents to learn, verify, and adapt reliably in open, non-static environments.

Ax Zhicheng Fang, Jingjie Zheng, Chenxu Fu, Wei Xu 3/2/2026

Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

Multi-agent workflow system that translates jailbreak papers into executable modules for unified benchmarking of LLM robustness techniques.

Ax Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim 3/2/2026

Interpretable Debiasing of Vision-Language Models for Social Fairness

Model-agnostic interpretable debiasing method for vision-language models to mitigate unintended social bias in black-box reasoning processes.