Isolater - Feed

Ax Mario Iacobelli, Adrian Robert Minut, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Iacopo Masi, Emanuele Rodol\`a 4/9/2026

Multi-objective Evolutionary Merging Enables Efficient Reasoning Models

Multi-objective evolutionary merging approach to reduce computational overhead of reasoning models while maintaining accuracy with fewer tokens.

Ax Dev Arpan Desai, Shaoyi Huang, Zining Zhu 4/9/2026

Distributed Interpretability and Control for Large Language Models

Practical implementation of activation-level interpretability and steering techniques for large language models distributed across multiple GPUs.

Ax David Cho, Yifan Wang, Fanping Sui, Ananth Grama 4/9/2026

Inference-Time Code Selection via Symbolic Equivalence Partitioning

Symbolic Equivalence Partitioning uses symbolic execution for inference-time code selection in LLM-based code generation without expensive verifiers.

Ax Maojiang Su, Po-Chung Hsieh, Weimin Wu, Mingcheng Lu, Jiunhau Chen, Jerry Yao-Chieh Hu, Han Liu 4/9/2026

Discrete Flow Matching Policy Optimization

DoMinO framework unifies reinforcement learning fine-tuning of Discrete Flow Matching models by reformulating sampling as a multi-step MDP.

Ax Weiyue Li, Ruizhi Qian, Yi Li, Yongce Li, Yunfan Long, Jiahui Cai, Yan Luo, Mengyu Wang 4/9/2026

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

MedConclusion benchmark dataset of 5.7M PubMed abstracts for evaluating LLMs on biomedical conclusion generation from structured evidence.

Ax Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang 4/9/2026

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

Efficient quantization method for Mixture-of-Experts models with theoretical generalization guarantees to reduce inference memory overhead.

Ax Basil Kyriacou, Mo Kordzanganeh, Maniraman Periyasamy, Alexey Melnikov 4/9/2026

Soft-Quantum Algorithms

Soft-Quantum Algorithms explores classical simulation of variational quantum circuits for few-qubit problems with large datasets.

Ax Yinghan Hou, Zongyou Yang 4/9/2026

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills

SkillSieve is a three-layer detection framework for identifying security vulnerabilities in AI agent skills, addressing both code and natural language prompt injection attacks.

Ax Audrey Cheng, Harald Ng, Aaron Kabcenell, Peter Bailis, Matei Zaharia, Lin Ma, Xiao Shi, Ion Stoica 4/9/2026

AI-Driven Research for Databases

AI-Driven Research for Systems uses LLMs to automate database performance optimization through automated code generation instead of manual design.

Ax Joshua Castillo, Ravi Mukkamala 4/9/2026

LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources

Guardian Parser Pack uses LLMs to parse and normalize heterogeneous investigative documents for missing-person cases with varying layouts and data quality.

Ax Maotian Ma, Zheni Zeng, Zhenghao Liu, Yukun Yan 4/9/2026

Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs

SciDC method reduces LLM hallucination by incorporating scientific knowledge and rules as decoding constraints to improve reliability.

Ax Nan Zhang, Zishuo Wang, Shuyu Huang, Georgios Diamantopoulos, Nikos Tziritas, Panagiotis Oikonomou, Georgios Theodoropoulos 4/9/2026

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning

TwinLoop framework uses simulation-in-the-loop digital twins for online multi-agent reinforcement learning to adapt policies when operating conditions change.

Ax Hanyang Wang, Mingxuan Zhu 4/9/2026

The Detection--Extraction Gap: Models Know the Answer Before They Can Say It

Research finding that 52-88% of chain-of-thought tokens in reasoning models are generated after the answer is already recoverable, revealing a detection-extraction gap in model behavior.

Ax Mingyu Yang, Wentao Li, Wei Wang 4/9/2026

CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data

CubeGraph: efficient retrieval-augmented generation system for hybrid queries combining vector similarity search with spatio-temporal filters for RAG workloads.

Ax Evgeny Skvortsov, Yilin Xia, Ojaswa Garg, Shawn Bowers, Bertram Lud\"ascher 4/9/2026

Logical Robots: Declarative Multi-Agent Programming in Logica

Logical Robots: declarative multi-agent programming platform using logic programming language Logica for robot behavior specification combining reactive control and planning.

Ax Zheng Jiang, Nan He, Yiming Chen, Lifeng Sun 4/9/2026

SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport

SubFLOT: Federated learning method using optimal transport for efficient submodel extraction, addressing heterogeneity and enabling client-side personalization.

Ax Zhengyang Ai, Zikang Shan, Xiaodong Ai, Jingxian Tang, Hangkai Hu, Pinyan Lu 4/9/2026

SHAPE: Stage-aware Hierarchical Advantage via Potential Estimation for LLM Reasoning

SHAPE: Framework for improving LLM reasoning through process supervision, formalizing reasoning as state-space trajectory with stage-aware advantage estimation.

Ax Cheng Peng, Mengxian Lyu, Ziyi Chen, Yonghui Wu 4/9/2026

A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP

Parameter-efficient multitask prompt distillation framework for clinical NLP adapting shared metaprompts across diverse medical tasks.

Ax Xiaoyou Qin, Zhihong Li, Xiaoxiao Cheng 4/9/2026

Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach

Audience segmentation approach for LLM-based social simulation restoring demographic heterogeneity in behavioral modeling.

Ax Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang 4/9/2026

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM

Fake news detection framework combining graph analysis with LLM-retrieved evidence for explainable veracity assessment.

Ax Xuanle Zhao, Xinyuan Cai, Xiang Cheng, Xiuyi Chen, Bo Xu 4/9/2026

ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding

Chemical vision-language model emphasizing reasoning over perception for understanding molecular reactions and mechanisms.

Ax Hong Yi Lin, Chunhua Liu, Haoyu Gao, Patanamon Thongtanunam, Christoph Treude 4/9/2026

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision

Confidence calibration methods for LLM-generated code revisions enabling developers to assess output correctness at instance-level.

Ax Yiquan Wu, Yuhang Liu, Yifei Liu, Ang Li, Siying Zhou, Kun Kuang 4/9/2026

Luwen Technical Report

Open-source Chinese legal language model built on Baichuan foundation using continued pretraining and instruction tuning.

Ax Ruida Hu, Xinchen Wang, Chao Peng, Cuiyun Gao, David Lo 4/9/2026

Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios

CLI-Tool-Bench benchmark for evaluating LLM agents' end-to-end software generation from intent without predefined scaffolds.

Ax Xiangyu Wang, Jin Wu, Haoran Shi, Wei Xia, Jiarui Yu, Chanjin Zheng 4/9/2026

TeamLLM: A Human-Like Team-Oriented Collaboration Framework for Multi-Step Contextualized Tasks

Framework enabling multi-LLM collaboration with role-based team structure for solving complex multi-step contextualized tasks.

Ax Guillermo Gil de Avalle, Laura Maruster, Eric Sloot, Christos Emmanouilidis 4/9/2026

FlowExtract: Procedural Knowledge Extraction from Maintenance Flowcharts

Pipeline for extracting procedural knowledge and directed graphs from maintenance flowchart images using vision-language models.

Ax Zhiyu Cao, Peifeng Li, Qiaoming Zhu 4/9/2026

Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search

Multi-faceted preference alignment approach for conversational query rewriting using feedback from retrieval and generation components.

Ax Xinchen Wang, Ruida Hu, Cuiyun Gao, Pengfei Gao, Chao Peng 4/9/2026

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development

Benchmark for evaluating LLM-generated repository documentation using question answering, addressing limitations of LLM-as-judge evaluation methods.

Ax Huy Q. Le, Loc X. Nguyen, Yu Qiao, Seong Tae Kim, Eui-Nam Huh, Choong Seon Hong 4/9/2026

FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift

FedDAP addresses domain shift in federated learning using prototype learning for privacy-sensitive applications.

Ax Andrea Pollastro, Andrea Apicella, Francesco Isgr\`o, Roberto Prevete 4/9/2026

Instance-Adaptive Parametrization for Amortized Variational Inference

Instance-adaptive variational autoencoders reduce amortization gap in latent variable models for deep generative modeling.

Ax Zhixiong Zhao, Zukang Xu, Zhixuan Chen, Dawei Yang 4/9/2026

MoBiE: Efficient Inference of Mixture of Binary Experts under Post-Training Quantization

MoBiE: binarization framework for efficient inference of mixture-of-experts LLMs using post-training quantization.

Ax Yunhao Feng, Yifan Ding, Yingshui Tan, Boren Zheng, Yanming Guo, Xiaolong Li, Kun Zhai, Yishan Li, Wenke Huang 4/9/2026

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

SkillTrojan: backdoor attack framework targeting skill-based agent systems through malicious skill implementations.

Ax Dihong Jiang, Ruoqi Cao, Zhiyuan Dang, Li Huang, Qingsong Zhang, Zhiyu Wang, Shihao Piao, Shenggao Zhu, Jianlong Chang, Zhouchen Lin, Qi Tian 4/9/2026

OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale

OmniTabBench: largest tabular data benchmark comparing GBDTs, neural networks, and foundation models at scale.

Ax Paula Dodig, Boshko Koloski, Katarina Sitar \v{S}u\v{s}tar, Senja Pollak, Matthew Purver 4/9/2026

Environmental, Social and Governance Sentiment Analysis on Slovene News: A Novel Dataset and Models

ESG sentiment analysis dataset and models for Slovene news, addressing corporate performance assessment in emerging markets.

Ax Jiang Zhou, Yunhao Wang, Xing Wu, Tinghao Yu, Feng Zhang 4/9/2026

WRAP++: Web discoveRy Amplified Pretraining

WRAP++ improves LLM pretraining through synthetic data rephrasing that captures cross-document relationships and associative context.

Ax Jeongho Yoon, Chanhee Park, Yongchan Chun, Hyeonseok Moon, Heuiseok Lim 4/9/2026

Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation

Privacy-preserving LLM inference method enabling text-free processing through alignment and adaptation, reducing privacy risks without computational overhead.

Ax Bing Wang, Rui Miao, Chen Shen, Shaotian Yan, Kaiyuan Liu, Ximing Li, Xiaosong Yuan, Sinan Fan, Jun Zhang, Jieping Ye 4/9/2026

On the Step Length Confounding in LLM Reasoning Data Selection

Analysis of step length confounding bias in LLM reasoning dataset selection pipelines used for fine-tuning complex reasoning models on chain-of-thought tasks.

Ax Yijie Zhong, Yunfan Gao, Haofen Wang 4/9/2026

HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues

Memory architecture for long-term dialogue systems using boundary-guided event segmentation and query-adaptive retrieval to improve scalability and personalization.

Ax Xiaotian Luo, Xun Jiang, Jiangcheng Wu 4/9/2026

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors

Benchmark for evaluating LLM diagnostic robustness in medical dialogue with adversarial patient behaviors at varying severity levels and cross-dimension interactions.

Ax Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng 4/9/2026

Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings

Large-scale study examining bias in skin-toned emoji representations across LLMs and embedding models, addressing societal bias perpetuation in AI systems.

Ax Bajian Xiang, Tingwei Guo, Xuan Chen, Yang Han 4/9/2026

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models

Research on redundancy in Large Speech Language Models reveals structured token-level redundancy to reduce inference costs while maintaining semantic fidelity.

Ax Nikolaos D. Tantaroudas, Ilias Karachalios, Andrew J. McCracken 4/9/2026