Papers Blocking
“Blocking” 태그가 달린 논문 524편 · 필터 해제
An introduction to Causal Modelling
This tutorial provides a concise introduction to modern causal modeling by integrating potential outcomes and graphical methods. We motivate causal questions such as counterfactual reasoning under interventions and defin…
BlockingcounterfactualCounterfactual ReasoningNoLoCo: No-all-reduce Low Communication Training Method for Large Models
Training large language models is generally done via optimization methods on clusters containing tens of thousands of accelerators, communicating over a high-bandwidth interconnect. Scaling up these clusters is expensive…
AllBlockingPushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate Models
Understanding the plausible upper bounds of extreme weather events is essential for risk assessment in a warming climate. Existing methods, based on large ensembles of physics-based models, are often computationally expe…
BlockingMatching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
The rise of Large Language Models (LLMs) has driven progress in reasoning tasks -- from program synthesis to scientific hypothesis generation -- yet their ability to handle ranked preferences and structured algorithms in…
Blockingparameter-efficient fine-tuningProgram SynthesisChallenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier
Recordings gathered with child-worn devices promised to revolutionize both fundamental and applied speech sciences by allowing the effortless capture of children's naturalistic speech environment and language production.…
BlockingThe Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Integrated Sensing And Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP, with standardization efforts already underway. Sensing tasks, such as target localization, demand more precise char…
BlockingIntegrated sensing and communicationISACOpen CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
CAPTCHAs have been a critical bottleneck for deploying web agents in real-world applications, often blocking them from completing end-to-end automation tasks. While modern multimodal LLM agents have demonstrated impressi…
BenchmarkingBlockingMultimodal ReasoningVisual ReasoningDecoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
The interpretability of Mixture-of-Experts (MoE) models, especially those with heterogeneous designs, remains underexplored. Existing attribution methods for dense models fail to capture dynamic routing-expert interactio…
BlockingMixture-of-ExpertsSensitivity of DC Network Representation for GIC Analysis
Geomagnetic disturbances are a threat to the reliability and security of our national critical energy infrastructures. These events specifically result in geomagnetically induced currents, which can cause damage to trans…
BlockingSensitivityDerailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models
We introduce a method to reduce refusal rates of large language models (LLMs) on sensitive content without modifying model weights or prompts. Motivated by the observation that refusals in certain models were often prece…
BlockingStreamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework
In cloud-native systems, Kubernetes clusters with interdependent services often face challenges to their operational resilience due to poor workload management issues such as resource blocking, bottlenecks, or continuous…
BlockingGenerative RLHF-V: Learning Principles from Multi-modal Human Preference
Training multi-modal large language models (MLLMs) that align with human intentions is a long-term challenge. Traditional score-only reward models for alignment suffer from low accuracy, weak generalization, and poor int…
BlockingOut-of-Distribution GeneralizationAI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network
In this paper, channel estimation (CE) for uplink hybrid-field communications involving multiple Internet of Things (IoT) devices assisted by an active intelligent reflecting surface (IRS) is investigated. Firstly, to re…
Blockingparameter estimationELIS: Efficient LLM Iterative Scheduling System with Response Length Predictor
We propose ELIS, a serving system for Large Language Models (LLMs) featuring an Iterative Shortest Remaining Time First (ISRTF) scheduler designed to efficiently manage inference tasks with the shortest remaining tokens.…
BlockingSchedulingNon-Blocking Robustness Analysis in Discrete Event Systems
This paper presents a mathematical framework for characterizing state blocking in discrete event systems (DES) under transition deletions. We introduce a path-based analysis approach that determines whether systems maint…
BlockingUsing mathematical models of heart cells to assess the safety of new pharmaceutical drugs
Many drugs have been withdrawn from the market worldwide, at a cost of billions of dollars, because of patient fatalities due to them unexpectedly disturbing heart rhythm. Even drugs for ailments as mild as hay fever hav…
BlockingRhythmLeveraging Language Models for Automated Patient Record Linkage
Objective: Healthcare data fragmentation presents a major challenge for linking patient data, necessitating robust record linkage to integrate patient records from diverse sources. This study investigates the feasibility…
BlockingData IntegrationSentence EmbeddingsLithOS: An Operating System for Efficient Machine Learning on GPUs
The surging demand for GPUs in datacenters for machine learning (ML) has made efficient GPU utilization crucial. However, meeting the diverse needs of ML models while optimizing resource usage is challenging. To enable t…
BlockingGPUManagementSchedulingBeamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Reconfigurable intelligent surface (RIS) is emerging as a promising technology for next-generation wireless communication networks, offering a variety of merits such as the ability to tailor the communication environment…
BlockingGraph Neural NetworkImprovable Students in School Choice
The Deferred Acceptance algorithm (DA) frequently produces Pareto inefficient allocations in school choice problems. While a number of efficient mechanisms that Pareto-dominate DA are available, a normative question rema…
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