Isolater - Feed

Ax Patrick Lutz, Themistoklis Haris, Arjun Chandra, Aditya Gangrade, Venkatesh Saligrama 4/20/2026

Layerwise Dynamics for In-Context Classification in Transformers

Interpretable analysis of transformer in-context classification using permutation equivariance constraints to reveal layer-wise dynamics.

Ax You Qin, Linqing Wang, Hao Fei, Roger Zimmermann, Liefeng Bo, Qinglin Lu, Chunyu Wang 4/20/2026

SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models

SOAR bridges SFT and RL stages in diffusion model training with self-correction mechanism for out-of-distribution denoising.

Ax Talha Ruzgar Akkus, Suayp Talha Kocabay, Kamer Ali Yuksel, Hassan Sawaf 4/20/2026

Selectivity and Shape in the Design of Forward-Forward Goodness Functions

Explores goodness function design space for Forward-Forward algorithm, finding shape-sensitive functions outperform sum-of-squares.

Ax Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Bing Li, Ulf Schlichtmann 4/20/2026

KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs

Context-independent KV caching for LLMs eliminating recomputation overhead when reusing cached documents in new contexts.

Ax Sourav Ganguly, Kartik Pandit, Arnob Ghosh 4/20/2026

Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees

Policy learning algorithm with regret and violation guarantees for agents operating under adversarial exogenous factors.

Ax Yuncong Liu, Yuan Wan, Zhou Jiang, Yao Lu 4/20/2026

When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse

Completes financial KOL trading strategies from discourse by inferring unspecified execution decisions using structured analysis.

Ax Amy Rouillard, Sitwala Mundia, Linda Camara, Michael Cameron Gramanie, Ziyaad Dangor, Ismail Kalla, Shabir A. Madhi, Kajal Morar, Marlvin T. Ncube, Haroon Saloojee, Bruce A. Bassett 4/20/2026

Can LLMs Score Medical Diagnoses and Clinical Reasoning as well as Expert Panels?

Evaluates LLM jury of frontier models scoring medical diagnoses against expert clinician panels on real-world hospital cases.

Ax Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov, Artem Babenko 4/20/2026

Benchmarking Optimizers for MLPs in Tabular Deep Learning

Systematic benchmark of 15 optimizers on 17 tabular datasets for training MLP-based models, examining alternatives to AdamW.

Ax Goitom Ybrah Hailu, Hadush Hailu, Shishay Welay 4/20/2026

Deep Learning Based Amharic Chatbot for FAQs in Universities

Chatbot using NLP and deep learning to answer FAQs in Amharic language for university students.

Ax Garima Chhikara, Anurag Sharma, V. Gurucharan, Kripabandhu Ghosh, Abhijnan Chakraborty 4/20/2026

LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports

LLM-guided extractive summarization for processing code-mixed sexual harassment incident reports on citizen platforms.

Ax Koki Chinzei, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima 4/20/2026

Resource-efficient equivariant quantum convolutional neural networks

Resource-efficient equivariant quantum convolutional neural networks for near-term quantum devices with limited computational resources.

Ax Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken 4/20/2026

Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All

ML-based preference elicitation algorithms for iterative combinatorial auctions addressing exponential bundle space problem.

Ax Mengxin Wang (Naveen Jindal School of Management, The University of Texas at Dallas), Dennis J. Zhang (Olin School of Business, Washington University in St. Louis), Heng Zhang (W. P. Carey School of Business, Arizona State University) 4/20/2026

Large Language Models for Market Research: A Data-augmentation Approach

Uses LLMs to generate synthetic data for market research and conjoint analysis, addressing scalability limitations of traditional surveys.

Ax Qin Fang, Lei Shi, Min Xu, Ding-Xuan Zhou 4/20/2026

Two-Dimensional Deep ReLU CNN Approximation for Korobov Functions: A Constructive Approach

Constructive approach for building 2D CNNs to approximate Korobov functions with rigorous theoretical analysis.

Ax Dimitris Tsirmpas, Ion Androutsopoulos, John Pavlopoulos 4/20/2026

Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation

Synthetic Discussion Generation framework uses LLMs to create simulated multi-participant discussions for cost-effective social science experiments.

Ax Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique 4/20/2026

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents

Scalable multi-task learning for autonomous agents using Spiking Neural Networks with adaptive task-switching to reduce resource consumption.

Ax Wenhao Qian, Zhenzhen Hu, Zijie Song, Jia Li 4/20/2026

Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification

LayerNorm tuning with concept drift guidance for multimodal metaphor identification in internet memes using efficient fine-tuning.

Ax Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, Yanfang Ye, Soroush Vosoughi 4/20/2026

What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context

Investigates how LLMs effectively model sequential recommendations by analyzing preference intensity and temporal context factors.

Ax Dorival Le\~ao, Reiko Aoki, Alberto Ohashi, Teh Led Red 4/20/2026

Sequential Regression Learning with Randomized Algorithms

Randomized SINDy presents a sequential machine learning algorithm for time-dependent dynamic data with PAC learning guarantees.

Ax Ran Tong, Lanruo Wang, Tong Wang, Wei Yan 4/20/2026

Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models

Compares statistical and neural mixed-effects models for predicting Parkinson's Disease progression using voice biomarkers.

Ax Md Afif Al Mamun, Gias Uddin, Lan Xia, Longyu Zhang 4/20/2026

TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings

TriagerX applies dual transformers to bug triaging, improving token relevance attention for software engineering tasks.

Ax Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen 4/20/2026

OjaKV: Context-Aware Online Low-Rank KV Cache Compression

OjaKV compresses KV cache in long-context LLMs using context-aware online low-rank projection, reducing memory bottlenecks during inference.

Ax Akira Takahashi, Shusuke Takahashi, Yuki Mitsufuji 4/20/2026

MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation

MMAudioSep applies video-to-audio generative models for sound separation queried by video or text input.

Ax Zihan Zhao, Kaushik Pendiyala, Masood Mortazavi, Ning Yan 4/20/2026

PULSE: Privileged Knowledge Transfer from Rich to Deployable Sensors for Embodied Multi-Sensory Learning

PULSE transfers knowledge from rich sensor modalities to deployable sensors for embodied AI systems with sensor asymmetry constraints.

Ax Ritik Raj, Souvik Kundu, Ishita Vohra, Hong Wang, Tushar Krishna 4/20/2026

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective

Analyzes CPU-centric execution characteristics of agentic AI systems, examining performance bottlenecks in tool-calling autonomous LLM agents.

Ax Victoria Ebert, Rishabh Singh, Tuochao Chen, Noah A. Smith, Shyamnath Gollakota 4/20/2026

Reading Between the Lines: The One-Sided Conversation Problem

Addresses one-sided conversation problem where only one speaker is recorded, reconstructing missing dialogue and generating summaries using conversational AI.

Ax Dionysios Adamopoulos, Anastasia Poulopoulou, Georgios Goumas, Christina Giannoula 4/20/2026

Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks

Optimizes sparse convolution operations in 3D point cloud networks by exploiting voxel coordinate properties.

Ax Samuel Burles, Enrico Camporeale 4/20/2026

The Machine Learning Approach to Moment Closure Relations for Plasma: A Review

Reviews machine learning approaches for plasma closure relations in fluid dynamics simulations.

Ax Dongqi Liu, Hang Ding, Qiming Feng, Xurong Xie, Zhucun Xue, Chengjie Wang, Jian Li, Jiangning Zhang, Yabiao Wang 4/20/2026

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation

Disco-RAG enhances RAG systems by incorporating discourse structure awareness, enabling LLMs to better synthesize knowledge from multiple retrieved passages.

Ax Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou 4/20/2026

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

EnvScaler automatically generates scalable tool-interactive environments for LLM agents using programmatic synthesis, enabling training without hallucinations or manual sandbox building.

Ax Alexandra Dragomir, Florin Brad, Radu Tudor Ionescu 4/20/2026

CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning

CLewR integrates curriculum learning into preference optimization for machine translation, improving LLM multilingual MT performance by optimizing training data ordering.

Ax Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Xiansong Huang, Fan Xu, Feidiao Yang, Yao Lu, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian 4/20/2026

AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units

AscendKernelGen uses LLMs to automate high-performance kernel generation for Neural Processing Units, addressing vendor-specific DSL expertise bottlenecks in AI hardware optimization.

Ax Ramtin Babaeipour, Fran\c{c}ois Charest, Madison Wright 4/20/2026

AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows

RAG-based LLM system for automated extraction and structuring of clinical trial protocol information improving workflow efficiency.

Ax Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen 4/20/2026

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

1S-DAug: One-shot generative data augmentation for few-shot learning synthesizing diverse variants from single example images.

Ax Sukumar Kishanthan, Kumar Thushalika, Buddhi Jayasekara, Asela Hevapathige 4/20/2026

Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil

Evaluation of LLM mathematical reasoning in Sinhala and Tamil low-resource languages for educational tutoring applications.

Ax Wael Hafez, Cameron Reid, Amit Nazeri 4/20/2026

The Informational Cost of Agency: A Bounded Measure of Interaction Efficiency for Deployed Reinforcement Learning

Monitoring framework for deployed reinforcement learning agents measuring interaction efficiency via information-theoretic uncertainty metrics.

Ax Ashwath Vaithinathan Aravindan, Mayank Kejriwal 4/20/2026

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations

Empirical study of LLM robustness to perturbations in chain-of-thought reasoning across five corruption types.

Ax Zongyue Qin, Raghavv Goel, Mukul Gagrani, Risheek Garrepalli, Mingu Lee, Yizhou Sun 4/20/2026

ConFu: Contemplate the Future for Better Speculative Sampling

ConFu: Speculative decoding technique improving LLM inference speed by enhancing draft model quality for token verification.

Ax Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi 4/20/2026

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer

Multi-expert learning-to-defer framework addressing architectural limitations in expert selection and gradient distribution during training.

Ax Kyle Waters, Lucas Nuzzi, Tadhg Looram, Alessandro Tomasiello, Ariel Ghislain Kemogne Kamdoum, Bikun Li, Damien Sileo, Egor Kretov, Francesco Fournier-Facio, Georgios Soloupis, Haile Kassahun, Hew Wolff, Jiaqi Cai, Lianghui Li, Marc Roth, Mohinder Naiya, Naixu Guo, Qicheng Tang, Richard Wheeler, Samuele Sala, Serguei Popov, Steven Dillmann, Yuqi Li 4/20/2026