Ax Khushboo Thaker, Yony Bresler 3/13/2026

Knowledge Distillation with Structured Chain-of-Thought for Text-to-SQL

Knowledge distillation method using structured chain-of-thought to improve text-to-SQL performance in small language models while reducing cost and security risks.

Ax Puyang Wang, Pengfei Guo, Keyi Chai, Jinyuan Zhou, Daguang Xu, Shanshan Jiang 3/13/2026

SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction

SDUM presents a universal deep learning framework for MRI reconstruction across diverse protocols using Restormer-based architecture.

Ax Zhongyu Xia, Wenhao Chen, Yongtao Wang, Ming-Hsuan Yang 3/13/2026

KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System

KnowVal combines visual-language reasoning, driving knowledge, and value alignment for autonomous driving using knowledge-augmented approaches beyond data-driven learning.

Ax Alistair Plum, Laura Bernardy, Tharindu Ranasinghe 3/13/2026

Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset

Dataset (judgeWEL) for named entity recognition in Luxembourgish using LLMs to verify automatically labeled data for underrepresented languages.

Ax Pan Liao, Feng Yang, Di Wu, Jinwen Yu, Yuhua Zhu, Wenhui Zhao, Dingwen Zhang 3/13/2026

LLMTrack: Semantic Multi-Object Tracking with Multi-modal Large Language Models

Benchmark and framework (Grand-SMOT) for semantic multi-object tracking using multimodal LLMs to handle complex relational queries.

Ax Shuozhe Li, Du Cheng, Leqi Liu 3/13/2026

A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization

Wavelet-based Transformer for intraday trading using multi-scale decomposition and reinforcement learning on financial time series.

Ax Yicheng Di 3/13/2026

LLM-driven Multimodal Recommendation

arXiv: LMMRec framework using LLMs to model user motivations in multimodal recommendation systems from heterogeneous information sources.

Ax Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang 3/13/2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

arXiv: LatentChem decouples chemical reasoning from natural language by using latent representations instead of chain-of-thought prompting.

Ax Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin 3/13/2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture

arXiv: GOT-JEPA visual object tracking using joint-embedding predictive architecture with model adaptation and occlusion handling.

Ax Zhuoxu Huang, Mengxi Jia, Hao Sun, Xuelong Li, Jungong Han 3/13/2026

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning

arXiv: Hybrid-policy reinforcement learning approach for enhancing multi-modal LLM reasoning with controlled exploration strategies.

Ax Jan Pauls, Karsten Schr\"odter, Sven Ligensa, Martin Schwartz, Berkant Turan, Max Zimmer, Sassan Saatchi, Sebastian Pokutta, Philippe Ciais, Fabian Gieseke 3/13/2026

ECHOSAT: Estimating Canopy Height Over Space And Time

arXiv: ECHOSAT global tree height mapping using vision transformers on multi-sensor satellite data for forest monitoring.

Ax Rafael R. Baptista, Andr\'e de Lima Salgado, Ricardo V. Godoy, Marcelo Becker, Thiago Boaventura, Gustavo J. G. Lahr 3/13/2026

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction

arXiv: Evaluating small language models for zero-shot and one-shot role classification in robot leader-follower interaction tasks.

Ax Jose Javier Gonzalez Ortiz, Abhay Gupta, Christopher Rinard, Davis Blalock 3/13/2026

FlashOptim: Optimizers for Memory-Efficient Training

arXiv: FlashOptim memory-efficient optimizers for mixed-precision neural network training reducing parameter storage overhead.

Ax Wei Luo, Yangfan Ou, Jin Deng, Zeshuai Deng, Xiquan Yan, Zhiquan Wen, Mingkui Tan 3/13/2026

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

arXiv: ProtoDCS framework for robust test-time adaptation of Vision-Language Models under distribution shift and open-set scenarios.

Ax Weizhi Feng, Shidong Shen, Jiaxiang Liu, Taolue Chen, Fu Song, Zhilin Wu 3/13/2026

Can LLM Aid in Solving Constraints with Inductive Definitions?

arXiv: Using LLMs with structured prompts to generate auxiliary lemmas for constraint solving with inductive definitions.

Ax John Driscoll, Yulin Chen, Viki Shi, Izak Vucharatavintara, Yaxing Yao, Haojian Jin 3/13/2026

Understanding Parents' Desires in Moderating Children's Interactions with GenAI Chatbots through LLM-Generated Probes

Study of parental moderation preferences for children's GenAI chatbot interactions using LLM-generated probe scenarios.

Ax Hengquan Guo 3/13/2026

BLOCK: An Open-Source Bi-Stage MLLM Character-to-Skin Pipeline for Minecraft

BLOCK: open-source two-stage MLLM pipeline generating Minecraft character skins from text descriptions via 3D preview synthesis.

Ax Junjie Chu, Xinyue Shen, Ye Leng, Michael Backes, Yun Shen, Yang Zhang 3/13/2026

Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks

Multi-dimensional evaluation of LLM safety benchmarks assessing their academic influence and code repository quality.

Ax Siddharth Boppana, Annabel Ma, Max Loeffler, Raphael Sarfati, Eric Bigelow, Atticus Geiger, Owen Lewis, Jack Merullo 3/13/2026

Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

Analysis of performative chain-of-thought in reasoning LLMs showing discrepancy between generated explanations and internal model beliefs.

Ax Runlong Ye, Naaz Sibia, Angela Zavaleta Bernuy, Tingting Zhu, Carolina Nobre, Viktoria Pammer-Schindler, Michael Liut 3/13/2026

From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews

Design study on LLM-assisted tools for systematic literature reviews to reduce cognitive load and enable iterative exploration.

Ax Hadi Sotoudeh, Payel Mukhopadhyay, Ruben Ohana, Michael McCabe, Neil D. Lawrence, Shirley Ho, Miles Cranmer 3/13/2026

On the Value of Tokeniser Pretraining in Physics Foundation Models

Investigation of tokenizer pretraining impact on physics foundation models for emulating complex multiphysics simulations.

Ax Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew A Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew Williamson, German Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu 3/13/2026

Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness

Expert perspectives on integrating foundation models and AI agents into clinical computational pathology with translational readiness assessment.

Ax William Thorne, Joseph James, Yang Wang, Chenghua Lin, Diana Maynard 3/13/2026

Evaluating LLM-Based Grant Proposal Review via Structured Perturbations

Framework using structured perturbations to evaluate LLM performance on high-stakes grant proposal reviews across quality dimensions.

Ax Satheeshkumar Veeramani, Anna Kisil, Abigail Bentley, Hatem Fakhruldeen, Gabriella Pizzuto, Andrew I. Cooper 3/13/2026

Human-Aware Robot Behaviour in Self-Driving Labs

Human-aware behavior design for mobile robot chemists in autonomous self-driving laboratories.

Ax Hikmat Khan, Wei Chen, Muhammad Khalid Khan Niazi 3/13/2026

Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation

Weakly supervised deep learning for gland segmentation in colorectal cancer histopathology without pixel-level annotations.

Ax Simon Brandt, Paul Haider, Walter Senn, Federico Benitez, Mihai A. Petrovici 3/13/2026

A Variational Latent Equilibrium for Learning in Neuronal Circuits

Neurobiologically-inspired learning algorithm for temporal pattern recognition as alternative to backpropagation through time.

Ax Chengjun Yu, Xuhan Zhu, Chaoqun Du, Pengfei Yu, Wei Zhai, Yang Cao, Zheng-Jun Zha 3/13/2026

EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning

EXPLORE-Bench benchmark evaluating multimodal LLMs' ability to reason about long-horizon physical consequences from egocentric viewpoints.

Ax Omar Elshehy, Omer Nacar, Abdelbasset Djamai, Muhammed Ragab, Khloud Al Jallad, Mona Abdelazim 3/13/2026

AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic

AraModernBERT adapter for Arabic NLP with transtokenized embeddings and 8K token context window support.

Ax Yannis Karmim (ALMAnaCH), Renato Pino (UCHILE), Hernan Contreras (UCHILE), Hernan Lira (CENIA), Sebastian Cifuentes (CENIA), Simon Escoffier (PUC), Luis Mart\'i (ALMAnaCH), Djam\'e Seddah (ALMAnaCH), Valentin Barri\`ere (UCHILE, CENIA) 3/13/2026

Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America

Dataset creation using Wikidata to detect cultural biases in LLMs across Latin American languages and contexts.

Ax Youness Dkhissi (LIUM), Valentin Vielzeuf (LIUM), Elys Allesiardo (LIUM), Anthony Larcher (LIUM) 3/13/2026

SENS-ASR: Semantic Embedding injection in Neural-transducer for Streaming Automatic Speech Recognition

Semantic embedding injection in neural transducers for low-latency streaming automatic speech recognition.

Ax Moriba Kemessia Jah 3/13/2026

The Epistemic Support-Point Filter: Jaynesian Maximum Entropy Meets Popperian Falsification

Epistemic Support-Point Filter for recursive estimation using maximum entropy and falsification principles.

Ax Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo 3/13/2026

Rethinking the Harmonic Loss via Non-Euclidean Distance Layers

Proposes harmonic loss as alternative to cross-entropy for training deep neural networks with improved interpretability.

Ax Anna Chistyakova, Mikhail Pautov 3/13/2026

Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?

Method to provably compute adversarial examples for black-box neural networks using Contract And Conquer approach.

Ax Artem Dvirniak, Evgeny Kushnir, Dmitrii Tarasov, Artem Iudin, Oleg Kiriukhin, Mikhail Pautov, Dmitrii Korzh, Oleg Y. Rogov 3/13/2026

Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning

Human-inspired reasoning approach for robust speech deepfake detection with improved generalization to unseen audio domains and interpretability.

Ax Pum Jun Kim, Seung-Ah Lee, Seongho Park, Dongyoon Han, Jaejun Yoo 3/13/2026

On the Reliability of Cue Conflict and Beyond

Analysis of cue-conflict benchmarks for measuring neural network shape-texture bias, identifying instability in stylization-based bias estimation methods.

Ax Zegu Zhang, Jian Zhang 3/13/2026

Historical Consensus: Preventing Posterior Collapse via Iterative Selection of Gaussian Mixture Priors

Historical Consensus approach for preventing posterior collapse in VAEs through iterative Gaussian mixture prior selection based on data covariance spectral properties.

Ax Haoze Song, Zhihao Li, Mengyi Deng, Xin Li, Duyi Pan, Zhilu Lai, Wei Wang 3/13/2026

Structure-Aware Epistemic Uncertainty Quantification for Neural Operator PDE Surrogates

Uncertainty quantification framework for neural operator PDE surrogates emphasizing computational efficiency and spatial localization of epistemic uncertainty.

Ax Dennis Thumm, Ying Chen 3/13/2026

Interventional Time Series Priors for Causal Foundation Models

Interventional time series data generator for training causal foundation models, extending prior-data fitted networks to time series with ground-truth interventions.

Ax Zeyuan Guo, Enmao Diao, Cheng Yang, Chuan Shi 3/13/2026

Graph Tokenization for Bridging Graphs and Transformers

Graph tokenization framework combining reversible serialization with BPE to enable transformer models to process graph-structured data as token sequences.

Ax Mynampati Sri Ranganadha Avinash 3/13/2026

Task-Conditioned Routing Signatures in Sparse Mixture-of-Experts Transformers

Analysis of routing signatures in sparse Mixture-of-Experts transformers to understand task-conditioned expert selection patterns in large language models.

Ax Sascha Marton 3/13/2026

Learning Tree-Based Models with Gradient Descent

Gradient descent-based approach for learning interpretable tree-based decision models, addressing combinatorial complexity of traditional discrete tree learning.

Ax Eliran Sherzer 3/13/2026

A Learning-Based Superposition Operator for Non-Renewal Arrival Processes in Queueing Networks

Data-driven superposition operator for non-renewal arrival processes in queueing networks using moment-based learning instead of classical analytical methods.

Ax Renwei Meng 3/13/2026

Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition

Group Resonance Network for EEG emotion recognition combining individual dynamics with group-level regularization to handle cross-subject variability.

Ax Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger 3/13/2026

High-resolution weather-guided surrogate modeling for data-efficient cross-location building energy prediction

Surrogate modeling approach for building energy prediction using weather-guided models to reduce computational cost of physics-based EnergyPlus simulations.

Ax Radhakrishnan Delhibabu 3/13/2026

Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification

Quantum convolutional neural network architecture using localized cost functions and tensor-network initialization to address barren plateau optimization challenges.

Ax Shirin Amiraslani, Xin Gao 3/13/2026

Higher-Order Modular Attention: Fusing Pairwise and Triadic Interactions for Protein Sequences

Higher-Order Modular Attention (HOMA) mechanism extending transformer attention to capture triadic interactions in protein sequences beyond pairwise dependencies.

Ax Jongwoo Ko, Sara Abdali, Young Jin Kim, Tianyi Chen, Pashmina Cameron 3/13/2026

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation

REOPOLD: framework for on-policy distillation of reasoning capabilities to smaller models using policy optimization and token-level rewards for efficient scaling.

Ax Amit Singh, Vedant Nipane, Pulkit Agrawal, Jatin Kishnani 3/13/2026

H2LooP Spark Preview: Continual Pretraining of Large Language Models for Low-Level Embedded Systems Code

H2LooP Spark Preview: continual pretraining framework for LLMs specialized in low-level embedded systems code generation with hardware-specific domain adaptation.

Ax Sai V R Chereddy 3/13/2026

Attention Gathers, MLPs Compose: A Causal Analysis of an Action-Outcome Circuit in VideoViT

Mechanistic interpretability analysis of video vision transformers to understand how internal circuits represent action-outcome relationships in classification tasks.

Ax Xiangwen Wang, Ananth Balashankar, Varun Chandrasekaran 3/13/2026

Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models

Scaling-law framework for jailbreak attacks on LLMs treating each attack as compute-bounded optimization across methods and model families.