Ax Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal 4/7/2026

BalancedDPO: Adaptive Multi-Metric Alignment

BalancedDPO method aligns diffusion models with multiple conflicting evaluation metrics for text-to-image generation.

Ax Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao 4/7/2026

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

FSD bridges reasoning and decision-making in robotic manipulation by combining Vision-Language Models with action prediction for zero-shot generalization.

Ax Andrew Nam, Declan Campbell, Thomas Griffiths, Jonathan Cohen, Sarah-Jane Leslie 4/7/2026

Understanding Task Representations in Neural Networks via Bayesian Ablation

Bayesian ablation framework for interpreting latent task representations in neural networks, enabling probabilistic analysis of learned representations.

Ax Bowen Feng, Zhiting Mei, Julian Ost, Filippo Ghilotti, Baiang Li, Roger Girgis, Anirudha Majumdar, Felix Heide 4/7/2026

VERDI: VLM-Embedded Reasoning for Autonomous Driving

VERDI uses Vision-Language Models embedded in autonomous driving stack for reasoning-based trajectory planning under partial observability.

Ax Gordana Ispirova, Michael Sebek, Giulia Menichetti 4/7/2026

Informatics for Food Processing

Chapter reviewing ML/AI applications in food processing, covering classification frameworks and data science approaches to food informatics.

Ax Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Zixin Rao, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran 4/7/2026

SoSBench: Benchmarking Safety Alignment on Six Scientific Domains

SoSBench evaluates LLM safety alignment across six scientific domains with sophisticated, knowledge-intensive adversarial prompts.

Ax Patrick Vossler, Fan Xia, Yifan Mai, Adarsh Subbaswamy, Jean Feng 4/7/2026

LLMs Judging LLMs: A Simplex Perspective

Framework for evaluating LLM judges of LLM outputs, accounting for both sampling and judge quality uncertainty without gold-standard scores.

Ax Narmeen Oozeer, Luke Marks, Shreyans Jain, Fazl Barez, Amirali Abdullah 4/7/2026

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models

K-Steering enables unified multi-attribute control of LLM behavior at inference time using non-linear steering on hidden activations.

Ax Shuo Jiang, Min Xie, Jianxi Luo 4/7/2026

Large Language Models for Combinatorial Optimization of Design Structure Matrix

LLMs applied to combinatorial optimization of Design Structure Matrices in engineering, demonstrating reasoning capabilities for complex system reorganization.

Ax Yuiga Wada, Kazuki Matsuda, Komei Sugiura, Graham Neubig 4/7/2026

ZINA: Multimodal Fine-grained Hallucination Detection and Editing

ZINA detects and edits fine-grained hallucinations in multimodal LLMs, proposing a novel evaluation task for MLLM quality.

Ax Federico Zucchi, Thomas Lampert 4/7/2026

PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers

PRISM: lightweight fully convolutional model for multivariate time-series classification on edge devices.

Ax Ugur Cetintemel, Shu Chen, Alexander W. Lee, Deepti Raghavan, Duo Lu, Andrew Crotty 4/7/2026

Making Prompts First-Class Citizens for Adaptive LLM Pipelines

Framework treating prompts as first-class citizens in LLM pipelines to enable reuse, optimization, and runtime adaptation in complex agent systems.

Ax Dixon Domfeh, Saeid Safarveisi 4/7/2026

CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market

CATNet applies geometric deep learning (R-GCN) to catastrophe bond spread prediction in financial markets.

Ax Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Hongyao Tang, Jianye Hao 4/7/2026

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

Embodied-R1 introduces a 3B VLM using "pointing" as unified intermediate representation to address the seeing-to-doing gap in robotic manipulation across different embodiments.

Ax Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu 4/7/2026

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference

ShadowNPU system co-design for efficient on-device LLM inference on NPUs, addressing quantization sensitivity in attention operators.

Ax Tao Long, Xuanming Zhang, Sitong Wang, Zhou Yu, Lydia B Chilton 4/7/2026

DoubleAgents: Human-Agent Alignment in a Socially Embedded Workflow

DoubleAgents system for human-agent alignment in coordination tasks using a coordination agent and dashboard for preference elicitation and feedback.

Ax Miao Jing, Mengting Jia, Junling Lin, Zhongxia Shen, Huan Gao, Mingkun Xu, Shangyang Li 4/7/2026

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks

Neural-MedBench reasoning-intensive benchmark for evaluating clinical reasoning ability of vision-language models beyond classification accuracy.

Ax Zhimeng Luo, Lixin Wu, Adam Frisch, Daqing He 4/7/2026

Measuring Competency, Not Performance: Item-Aware Evaluation Across Medical Benchmarks

MedIRT psychometric framework for evaluating LLM medical competency rather than benchmark-specific performance using Item Response Theory.

Ax Vincent Grari, Tim Arni, Thibault Laugel, Sylvain Lamprier, James Zou, Marcin Detyniecki 4/7/2026

ACT: Agentic Classification Tree

ACT system combines decision trees with LLMs to provide transparent, interpretable, and auditable AI decisions on unstructured data.

Ax Zhiping Zhang, Yi Evie Zhang, Freda Shi, Tianshi Li 4/7/2026

Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents

Study of how autonomy levels in LLM agents affect user privacy concerns and trust, with implications for personalization design.

Ax Haotian Wu, Shufan Jiang, Chios Chen, Yiyang Feng, Hehai Lin, Heqing Zou, Yao Shu, Chengwei Qin 4/7/2026

FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline

FURINA-Builder multi-agent pipeline for automatically constructing customizable role-playing benchmarks at scale for evaluating LLM agent behavior.

Ax Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin Vechev 4/7/2026

Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Security analysis of LLM pruning methods showing vulnerabilities in popular inference engines like vLLM when models are pruned before deployment.

Ax Shinwoo Park, Hyejin Park, Hyeseon Ahn, Yo-Sub Han 4/7/2026

A Linguistics-Aware LLM Watermarking via Syntactic Predictability

Watermarking technique for LLMs using syntactic predictability to balance text quality against detection robustness for governance and trustworthiness.

Ax Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu 4/7/2026

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models

XModBench benchmark measures cross-modal consistency and modality-specific biases in omni-modal large language models across audio, vision, and text.

Ax Gao Yang, Yuhang Liu, Siyu Miao, Xinyue Liang, Zhengyang Liu, Heyan Huang 4/7/2026

LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation

Game-theoretic framework for evaluating LLMs on subjective and open-ended tasks beyond fixed-format benchmarks with reference answers.

Ax Chun Chet Ng, Zhen Hao Chu, Jia Yu Lim, Yin Yin Boon, Wei Zeng Low, Jin Khye Tan 4/7/2026

AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring

Application of AI to bank statement analysis for credit scoring of Malaysian MSMEs using alternative data sources instead of traditional credit bureau data.

Ax Mengqi Li, Lei Zhao, Anthony Man-Cho So, Ruoyu Sun, Xiao Li 4/7/2026

A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

SePT method enables LLMs to improve reasoning without external rewards by alternating between self-generating responses and fine-tuning on those responses.

Ax Xi He, Sirui Lu, Bei Zeng 4/7/2026

Co-Designing Quantum Codes with Transversal Diagonal Gates via Multi-Agent Systems

Multi-agent system with Lean 4 verification layer for exact scientific discovery in quantum code design, combining symbolic synthesis and automated verification.

Ax Tong Ma, Hui Lai, Hui Wang, Zhenhu Tian, Chaochao Li, Fengjie Xu, Ling Fang 4/7/2026

ATLAS: A Layered Constraint-Guided Framework for Structured Artifact Generation in LLM-Assisted MDE

ATLAS framework combines LLMs with model-driven workflows for generating structured artifacts that satisfy schemas, domain rules, and audit requirements through constraint compilation and validation.

Ax Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin 4/7/2026

HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection

Interpretable model for detecting implicit and explicit hate speech using prototype-based representations for transfer learning.

Ax Qibing Ren, Zhijie Zheng, Jiaxuan Guo, Junchi Yan, Lizhuang Ma, Jing Shao 4/7/2026

When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms

Research on financial fraud risks from collaborative LLM agents including MultiAgentFraudBench for simulating multi-agent fraud scenarios.

Ax Md Tanvirul Alam, Saksham Aggarwal, Justin Yang Chae, Nidhi Rastogi 4/7/2026

SPHINX: A Synthetic Environment for Visual Perception and Reasoning

Synthetic environment generating visual reasoning puzzles with ground-truth solutions across 25 task types for benchmark construction.

Ax Qi'ao Xu, Tianwen Qian, Yuqian Fu, Kailing Li, Yang Jiao, Jiacheng Zhang, Xiaoling Wang, Liang He 4/7/2026

ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos

Benchmark for task-oriented spatio-temporal grounding in egocentric videos for embodied AI agents.

Ax Junhyung Park, Yuqing Zhou 4/7/2026

A fine-grained look at causal effects in causal spaces

Theoretical framework for analyzing causal effects at fine-grained levels in high-dimensional data like images and language models.

Ax Chao Wen, Tung Phung, Pronita Mehrotra, Sumit Gulwani, Roger E. Beaty, Tomohiro Nagashima, Adish Singla 4/7/2026

Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

Interface design study on scaffolding divergent and convergent thinking in human-AI co-creation with generative models.

Ax Minh V. T. Thai, Tue Le, Dung Nguyen Manh, Huy Phan Nhat, Nghi D. Q. Bui 4/7/2026

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

SWE-EVO benchmark for evaluating AI coding agents on long-horizon software evolution tasks spanning multiple files and iterations.

Ax Qianli Wang, Van Bach Nguyen, Yihong Liu, Fedor Splitt, Nils Feldhus, Christin Seifert, Hinrich Sch\"utze, Sebastian M\"oller, Vera Schmitt 4/7/2026

Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation

Research on using LLMs to generate multilingual counterfactual examples for model interpretability across languages.

Ax Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung 4/7/2026

Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models

LLM-based method for categorical data clustering that leverages semantic understanding to measure similarity among attribute values lacking inherent ordering.

Ax Sitong Wang, Anh Truong, Lydia B. Chilton, Dingzeyu Li 4/7/2026

Rewriting Video: Text-Driven Reauthoring of Video Footage

Text-driven video reauthoring interface and study exploring how creators can edit video footage through natural language prompts rather than manual editing.

Ax Shaofeng Yin, Jiaxin Ge, Zora Zhiruo Wang, Chenyang Wang, Xiuyu Li, Michael J. Black, Trevor Darrell, Angjoo Kanazawa, Haiwen Feng 4/7/2026

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning

Vision-language agent framework combining inverse graphics with interleaved multimodal reasoning for reconstructing images into editable programs with spatial grounding.

Ax Daniel Ogenrwot, John Businge 4/7/2026

How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests

Large-scale empirical study analyzing how AI coding agents modify code and describe changes in GitHub pull requests compared to human contributions.

Ax Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala, Danwei Li, Thao Nguyen, Jing Xu, Ping Yu, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Xian Li, Olga Golovneva 4/7/2026

Self-Improving Pretraining: using post-trained models to pretrain better models

Method improving language model pretraining by using post-trained models as data sources to instill desired behaviors like safety and reasoning earlier in training.

Ax Henri A\"idasso, Francis Bordeleau, Ali Tizghadam 4/7/2026

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models

Few-shot fine-tuned LLM approach for categorizing intermittent CI pipeline failures caused by flaky tests and infrastructure issues rather than code defects.

Ax Lv Tang, Tianyi Zheng, Bo Li, Xingyu Li 4/7/2026

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs

Information-theoretic framework for optimizing shared visual tokenization in unified multimodal models that perform both image understanding and generation.

Ax Jiacheng Liang, Yuhui Wang, Tanqiu Jiang, Ting Wang 4/7/2026

RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models

Safety alignment approach for Mixture-of-Experts language models addressing unique challenges from sparse routing mechanisms during fine-tuning.

Ax Xin Wu, Zhixuan Liang, Yue Ma, Mengkang Hu, Zhiyuan Qin, Xiu Li 4/7/2026

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs

Benchmark framework for evaluating multimodal large language models on spatio-temporal bimanual coordination tasks requiring synchronized multi-stream integration.

Ax William Lugoloobi, Thomas Foster, William Bankes, Chris Russell 4/7/2026

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

Method using linear probes on LLM pre-generation activations to predict success likelihood before generation, enabling selective deployment of expensive extended reasoning.

Ax Yi Feng, Chen Huang, Zhibo Man, Ryner Tan, Long P. Hoang, Shaoyang Xu, Wenxuan Zhang 4/7/2026

MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook

Study examining emergent social behavior and interactions among large-scale communities of AI agents on MoltBook, a social platform designed for agent-agent communication.

Ax Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren 4/7/2026

Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets

Token-level noise filtering framework for LLM fine-tuning datasets that identifies and explains problematic tokens to improve downstream task performance.

Ax Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah, Jerry Huang, Aditi Raghunathan, Seunghoon Hong, Nicholas M. Boffi, Jinwoo Kim 4/7/2026

Flow Map Language Models: One-step Language Modeling via Continuous Denoising

Language model based on continuous flows over token embeddings demonstrating faster generation than discrete diffusion and autoregressive models with improved few-step quality.