Papers Position
“Position” 태그가 달린 논문 3,684편 · 필터 해제
Journalism-Guided Agentic In-Context Learning for News Stance Detection
As online news consumption grows, personalized recommendation systems have become integral to digital journalism. However, these systems risk reinforcing filter bubbles and political polarization by failing to incorporat…
ArticlesIn-Context LearningPositionRecommendation Systems+1Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
In this paper, we investigate the applicability of the CLIP-EBC framework, originally designed for crowd counting, to car object counting using the CARPK dataset. Experimental results show that our model achieves second-…
ClusteringCrowd CountingObjectObject Counting+1Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
Science progresses by iteratively advancing and correcting humanity's understanding of the world. In machine learning (ML) research, rapid advancements have led to an explosion of publications, but have also led to misle…
PositionPosterior Cramér-Rao Bounds on Localization and Mapping Errors in Distributed MIMO SLAM
Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geometric map of the propagation environment. …
PositionSimultaneous Localization and MappingSpeaker Embeddings to Improve Tracking of Intermittent and Moving Speakers
Speaker tracking methods often rely on spatial observations to assign coherent track identities over time. This raises limits in scenarios with intermittent and moving speakers, i.e., speakers that may change position wh…
PositionConstruction of an Organ Shape Atlas Using a Hierarchical Mesh Variational Autoencoder
An organ shape atlas, which represents the shape and position of the organs and skeleton of a living body using a small number of parameters, is expected to have a wide range of clinical applications, including intraoper…
PositionPosition: Certified Robustness Does Not (Yet) Imply Model Security
While certified robustness is widely promoted as a solution to adversarial examples in Artificial Intelligence systems, significant challenges remain before these techniques can be meaningfully deployed in real-world app…
PositionSeqPE: Transformer with Sequential Position Encoding
Since self-attention layers in Transformers are permutation invariant by design, positional encodings must be explicitly incorporated to enable spatial understanding. However, fixed-size lookup tables used in traditional…
image-classificationImage ClassificationKnowledge DistillationLanguage Modeling+3Flexible-length Text Infilling for Discrete Diffusion Models
Discrete diffusion models are a new class of text generators that offer advantages such as bidirectional context use, parallelizable generation, and flexible prompting compared to autoregressive models. However, a critic…
PositionText InfillingWe Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems
The development of large language models (LLMs) has entered in a experience-driven era, flagged by the emergence of environment feedback-driven learning via reinforcement learning and tool-using agents. This encourages t…
PositionRed TeamingDREAM: On hallucinations in AI-generated content for nuclear medicine imaging
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicine imaging (NMI), offering cost-effective software solutions for tasks such as image enhancement, motion correction, and …
DiagnosticHallucinationImage EnhancementPositionA Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems
In this paper, we consider a novel optimization design for multi-waveguide pinching-antenna systems, aiming to maximize the weighted sum rate (WSR) by jointly optimizing beamforming coefficients and antenna position. To …
Meta-LearningPositionTransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding
Transformers exhibit proficiency in capturing long-range dependencies, whereas State Space Models (SSMs) facilitate linear-time sequence modeling. Notwithstanding their synergistic potential, the integration of these arc…
4kLanguage ModelingLanguage ModellingPosition+1Metritocracy: Representative Metrics for Lite Benchmarks
A common problem in LLM evaluation is how to choose a subset of metrics from a full suite of possible metrics. Subset selection is usually done for efficiency or interpretability reasons, and the goal is often to select …
PositionTracking of Intermittent and Moving Speakers : Dataset and Metrics
This paper presents the problem of tracking intermittent and moving sources, i.e, sources that may change position when they are inactive. This issue is seldom explored, and most current tracking methods rely on spatial …
PositionJoFormer (Journey-based Transformer): Theory and Empirical Analysis on the Tiny Shakespeare Dataset
Transformers have demonstrated remarkable success in sequence modeling, yet effectively incorporating positional information remains a challenging and active area of research. In this paper, we introduce JoFormer, a jour…
Language ModelingLanguage ModellingPositionLocating Tennis Ball Impact on the Racket in Real Time Using an Event Camera
In racket sports, such as tennis, locating the ball's position at impact is important in clarifying player and equipment characteristics, thereby aiding in personalized equipment design. High-speed cameras are used to me…
PositionTheoretical and Experimental Evaluation of AoA Estimation in Single-Anchor 5G Uplink Positioning
As we move towards 6G, the demand for high-precision, cost-effective positioning solutions becomes increasingly critical. Single-anchor positioning offers a promising alternative to traditional multi-anchor approaches, p…
PositionPosition: Simulating Society Requires Simulating Thought
Simulating society with large language models (LLMs), we argue, requires more than generating plausible behavior -- it demands cognitively grounded reasoning that is structured, revisable, and traceable. LLM-based agents…
PositionMachine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers
Self-localization is an important technology for automating bulldozers. Conventional bulldozer self-localization systems rely on RTK-GNSS (Real Time Kinematic-Global Navigation Satellite Systems). However, RTK-GNSS signa…
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