Isolater - Feed

Ax Yuqi Zhu, Jintian Zhang, Zhenjie Wan, Yujie Luo, Shuofei Qiao, Zhengke Gui, Da Zheng, Lei Liang, Huajun Chen, Ningyu Zhang 4/7/2026

LightThinker++: From Reasoning Compression to Memory Management

LightThinker++ enables LLMs to dynamically compress intermediate reasoning thoughts into compact representations for efficiency.

Ax Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun 4/7/2026

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

Uses LLMs to capture semantic relationships for tail-item sequential recommendation, addressing sparse interaction problem.

Ax Sichen Tao, Yifei Yang, Ruihan Zhao, Kaiyu Wang, Sicheng Liu, Shangce Gao 4/7/2026

RDEx-CMOP: Feasibility-Aware Indicator-Guided Differential Evolution for Fixed-Budget Constrained Multiobjective Optimization

RDEx-CMOP is a differential evolution algorithm variant for constrained multiobjective optimization under budget constraints.

Ax Asmaa M. Elwer, Muhammad A. Rushdi, Mahmoud H. Annaby 4/7/2026

Learning Superpixel Ensemble and Hierarchy Graphs for Melanoma Detection

Graph learning approach for melanoma detection in dermoscopic images using graph signal processing.

Ax Steeven Villa, Abdallah El Ali 4/7/2026

15 Years of Augmented Human(s) Research: Where Do We Stand?

Scientometric analysis of 15 years of augmented human research, examining conference evolution and core themes.

Ax Baicheng Chen, Yu Wang, Ziheng Zhou, Xiangru Liu, Juanru Li, Yilei Chen, Tianxing He 4/7/2026

CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

CREBench evaluates LLMs on cryptographic binary reverse engineering, assessing capabilities for vulnerability discovery and malware analysis.

Ax Angelos Poulis, Mark Crovella, Evimaria Terzi 4/7/2026

Testing the Limits of Truth Directions in LLMs

Research identifying limitations in universality of linear truth directions in LLM activation spaces across different settings.

Ax Alexander Loth, Martin Kappes, Marc-Oliver Pahl 4/7/2026

Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News

Study measuring human ability to distinguish LLM-generated news from human-written content across six LLM models.

Ax Ragib Shahariar Ayon, Shibbir Ahmed 4/7/2026

AutoReSpec: A Framework for Generating Specification using Large Language Models

AutoReSpec uses LLMs to generate formal specifications for programs, addressing syntax and logic errors through techniques for complex control flow.

Ax Pierrick Lorang, Johannes Huemer, Timothy Duggan, Kai Goebel, Patrik Zips, Matthias Scheutz 4/7/2026

Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation

Neuro-symbolic framework for robot manipulation using vision-language models and autonomous domain construction.

Ax Jonathan Katzy, Razvan-Mihai Popescu, Erik Mekkes, Arie van Deursen, Maliheh Izadi 4/7/2026

Automated Attention Pattern Discovery at Scale in Large Language Models

Method for discovering repeated attention patterns in large language models at scale for mechanistic interpretability.

Ax Yuanhang Li 4/7/2026

When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks

Compares vision-language models and CNNs for spectrum management in satellite-terrestrial networks.

Ax Renzo G. Soatto, Anders Hoel, Greycen Ren, Shorna Alam, Stephen Bates, Nikolaos P. Daskalakis, Caroline Uhler, Maria Skoularidou 4/7/2026

CountsDiff: A Diffusion Model on the Natural Numbers for Generation and Imputation of Count-Based Data

CountsDiff extends diffusion models to discrete ordinal data on natural numbers for generation and imputation tasks.

Ax Haocheng Ju, Guoxiong Gao, Jiedong Jiang, Bin Wu, Zeming Sun, Leheng Chen, Yutong Wang, Yuefeng Wang, Zichen Wang, Wanyi He, Peihao Wu, Liang Xiao, Ruochuan Liu, Bryan Dai, Bin Dong 4/7/2026

Automated Conjecture Resolution with Formal Verification

Automated framework for research-level mathematical problem solving combining LLMs with formal verification to reliably resolve conjectures and verify proofs.

Ax Dipkumar Patel 4/7/2026

Representational Collapse in Multi-Agent LLM Committees: Measurement and Diversity-Aware Consensus

Representational collapse in multi-agent LLM committees: measurement of similarity showing agents produce redundant rationales despite different role prompts, with diversity-aware consensus.

Ax Felix Stillger, Lukas Hahn, Frederik Hasecke, Tobias Meisen 4/7/2026

InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

InCaRPose: Transformer-based model for relative camera pose estimation in automotive in-cabin monitoring with distorted imaging environments.

Ax Jonas De Schouwer, Haitz S\'aez de Oc\'ariz Borde, Xiaowen Dong 4/7/2026

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS The Expressive Power of GraphGPS

k-Maximum Inner Product Attention for efficient graph transformers, reducing quadratic complexity while maintaining expressiveness for large-scale graphs.

Ax Hope McGovern, Caroline Craig, Thomas Lippincott, Hale Sirin 4/7/2026

When Models Know More Than They Say: Probing Analogical Reasoning in LLMs

Analysis of analogical reasoning in LLMs comparing probed representations with prompted performance, revealing limitations in latent abstraction and generalization.

Ax Zonghan Li, Yi Liu, Chunyan Wang, Song Tong, Kaiping Peng, Feng Ji 4/7/2026

Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

Field experiment on LLM agent providing iterative personalized behavioral nudges for electricity and hot-water conservation across intervention rounds.

Ax Indar Kumar, Akanksha Tiwari 4/7/2026

Regime-Calibrated Demand Priors for Ride-Hailing Fleet Dispatch and Repositioning

Regime-calibrated demand priors for ride-hailing dispatch using historical segmentation and multi-metric similarity ensemble for fleet repositioning.

Ax Saad Alqithami 4/7/2026

Latency-Aware Resource Allocation over Heterogeneous Networks: A Lorentz-Invariant Market Mechanism

Lorentz-Invariant Auction mechanism for bandwidth allocation across heterogeneous-delay networks including LEO satellites and deep-space relays.

Ax Haotian Zong, Binze Li, Yufei Long, Sinyin Chang, Jialong Wu, Gillian K. Hadfield 4/7/2026

I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

I-CALM: prompt-only intervention reducing LLM hallucinations by incentivizing confidence-aware abstention through reward scheme announcements and humility principles.

Ax Saad Alqithami 4/7/2026

DC-Ada: Reward-Only Decentralized Observation-Interface Adaptation for Heterogeneous Multi-Robot Teams

DC-Ada: reward-only decentralized adaptation for heterogeneous multi-robot teams, adapting frozen policies to mismatched sensor configurations.

Ax Dalal Alharthi, Ivan Roberto Kawaminami Garcia 4/7/2026

Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework

Secure-by-design GenAI framework for cloud security and forensics using LLMs with defenses against prompt injection and forensic rigor requirements.

Ax Atahan Dokme, Sriram Vishwanath 4/7/2026

Interpreting Video Representations with Spatio-Temporal Sparse Autoencoders

Spatio-temporal sparse autoencoders for interpretable video representation learning, using contrastive objectives and hierarchical grouping to preserve temporal coherence.

Ax Xinyi Ling, Ye Liu, Reza Averly, Xia Ning 4/7/2026

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation

Multi-turn decision making framework for goal-oriented conversational systems balancing information acquisition and target commitment under user intent uncertainty.

Ax Fangzhou Lin, Peiran Li, Shuo Xing, Siyuan Yang, Qianwen Ge, Kazunori Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu 4/7/2026

AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference

AdaptFuse: training-free framework for LLMs to perform Bayesian belief updating across multi-turn interactions without fine-tuning on user data.

Ax Indar Kumar, Girish Karhana, Sai Krishna Jasti, Ankit Hemant Lade 4/7/2026

Supervised Dimensionality Reduction Revisited: Why LDA on Frozen CNN Features Deserves a Second Look

Regime-calibrated approach for ride-hailing demand prediction using historical trip segmentation and similarity ensemble matching across temporal patterns.

Ax Yifu Ding, Xinhao Zhang, Jinyang Guo 4/7/2026

Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference

Low-bit mixed-precision attention kernel using MXFP format for efficient LLM inference, reducing memory bandwidth and computational costs of transformer attention mechanisms.

Ax Hongwei Xu 4/7/2026

Symbolic-Vector Attention Fusion for Collective Intelligence

Symbolic-Vector Attention Fusion (SVAF): mechanism for multi-agent communication enabling agents to evaluate which signal dimensions to use in collective intelligence systems.

Ax Ravi Ranjan, Agoritsa Polyzou 4/7/2026

VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models

VLA-Forget: unlearning framework for vision-language-action embodied models in robotic manipulation, removing unsafe behaviors while preserving perception and language grounding.

Ax Khanh Linh Nguyen, Hoa Nghiem, Tu Tran 4/7/2026

TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol

TraceGuard: structured multi-dimensional monitoring protocol for detecting attacks on untrusted AI agents, addressing collusion risks through five-dimensional evaluation of agent reasoning and actions.

Ax Minglei Chen, Weilong Wang, Jiang Duan, Ye Deng 4/7/2026

Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

Gram-anchored prompt learning method for Vision-Language Models using second-order statistics for parameter-efficient adaptation.

Ax Shenzhi Yang, Guangcheng Zhu, Bowen Song, Sharon Li, Haobo Wang, Xing Zheng, Yingfan Ma, Zhongqi Chen, Weiqiang Wang, Gang Chen 4/7/2026

Can LLMs Learn to Reason Robustly under Noisy Supervision?

Analysis of noisy label robustness in Reinforcement Learning with Verifiable Rewards for training LLM reasoning models.

Ax Mohammad Hossein Chinaei 4/7/2026

Causality Laundering: Denial-Feedback Leakage in Tool-Calling LLM Agents

Causality laundering: security vulnerability in tool-calling LLM agents where adversaries exfiltrate information through denial-feedback patterns.

Ax Siyuan Li, Zehao Liu, Xi Lin, Qinghua Mao, Yuliang Chen, Haoyu Li, Jun Wu, Jianhua Li, Xiu Su 4/7/2026

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks

CoopGuard: stateful cooperative multi-agent defense framework protecting LLMs against evolving adversarial attacks across multi-round interactions.

Ax Jihoon Jeong 4/7/2026

Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comparison

First comparative analysis of emotion vector extraction methods across 9 small language models using multiple architectural families.

Ax Taiping Qu, Hongkai Zhang, Lantian Zhang, Can Zhao, Nan Zhang, Hui Wang, Zhen Zhou, Mingye Zou, Kairui Bo, Pengfei Zhao, Xingxing Jin, Zixian Su, Kun Jiang, Huan Liu, Yu Du, Maozhou Wang, Ruifang Yan, Zhongyuan Wang, Tiejun Huang, Lei Xu, Henggui Zhang 4/7/2026

BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging

BAAI Cardiac Agent: multimodal AI agent for automated cardiovascular disease diagnosis from cardiac MRI with specialized expert models.

Ax Shkelqim Sherifi 4/7/2026