Papers valid
“valid” 태그가 달린 논문 3,589편 · 필터 해제
Geometric Jensen-Shannon Divergence Between Gaussian Measures On Hilbert Space
This work studies the Geometric Jensen-Shannon divergence, based on the notion of geometric mean of probability measures, in the setting of Gaussian measures on an infinite-dimensional Hilbert space. On the set of all Ga…
validSWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks
Constructing large-scale datasets for the GitHub issue resolution task is crucial for both training and evaluating the software engineering capabilities of Large Language Models (LLMs). However, the traditional process f…
GitHub issue resolutionvalidGeneral Reference Frame Identification and Transformation in Unbalanced Power Systems
Various domains such as power system stability analysis, electric machine modeling, and control of power electronic converters have significantly benefited from the application of coordinate transformations. One of the m…
validGeneralizing Supervised Contrastive learning: A Projection Perspective
Self-supervised contrastive learning (SSCL) has emerged as a powerful paradigm for representation learning and has been studied from multiple perspectives, including mutual information and geometric viewpoints. However, …
Contrastive LearningRepresentation LearningvalidStep-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Recent advances in large language models (LLMs) have enabled impressive performance in various tasks. However, standard prompting often struggles to produce structurally valid and accurate outputs, especially in dependen…
Dependency ParsingHallucinationPart-Of-Speech TaggingvalidVector Representations of Vessel Trees
We introduce a novel framework for learning vector representations of tree-structured geometric data focusing on 3D vascular networks. Our approach employs two sequentially trained Transformer-based autoencoders. In the …
GPUvalidEmploying self-supervised learning models for cross-linguistic child speech maturity classification
Speech technology systems struggle with many downstream tasks for child speech due to small training corpora and the difficulties that child speech pose. We apply a novel dataset, SpeechMaturity, to state-of-the-art tran…
Self-Supervised LearningvalidAsymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification
Many classification tasks involve imbalanced data, in which a class is largely underrepresented. Several techniques consists in creating a rebalanced dataset on which a classifier is trained. In this paper, we study theo…
imbalanced classificationvalidPolicy-Based Trajectory Clustering in Offline Reinforcement Learning
We introduce a novel task of clustering trajectories from offline reinforcement learning (RL) datasets, where each cluster center represents the policy that generated its trajectories. By leveraging the connection betwee…
ClusteringD4RLOffline RLreinforcement-learning+4Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework
Large language models (LLMs) are increasingly used to extract clinical data from electronic health records (EHRs), offering significant improvements in scalability and efficiency for real-world data (RWD) curation in onc…
BenchmarkingFairnessvalidAutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Despite long-standing efforts in accelerating scientific discovery with AI, building AI co-scientists remains challenging due to limited high-quality data for training and evaluation. To tackle this data scarcity issue, …
scientific discoveryvalidLanguage Models over Canonical Byte-Pair Encodings
Modern language models represent probability distributions over character strings as distributions over (shorter) token strings derived via a deterministic tokenizer, such as byte-pair encoding. While this approach is hi…
validPhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation
Driven by advancements in motion capture and generative artificial intelligence, leveraging large-scale MoCap datasets to train generative models for synthesizing diverse, realistic human motions has become a promising r…
Motion GenerationvalidCan LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
Large Language Models (LLMs) have demonstrated remarkable capabilities in code generation, capable of tackling complex tasks during inference. However, the extent to which LLMs can be utilized for code checking or debugg…
Code GenerationvalidInference on the value of a linear program
This paper studies inference on the value of a linear program (LP) when both the objective function and constraints are possibly unknown and must be estimated from data. We show that many inference problems in partially …
validOn Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
This paper focuses on the estimation of distributional treatment effects in randomized experiments that use covariate-adaptive randomization (CAR). These include designs such as Efron's biased-coin design and stratified …
regressionvalidDoes It Make Sense to Speak of Introspection in Large Language Models?
Large language models (LLMs) exhibit compelling linguistic behaviour, and sometimes offer self-reports, that is to say statements about their own nature, inner workings, or behaviour. In humans, such reports are often at…
validSpeech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?
Understanding the neural basis of speech communication is essential for uncovering how sounds are translated into meaning, how that changes with development, ageing, and speech-related deficits, as well as contributing t…
validSQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Text-to-SQL systems translate natural language (NL) questions into SQL queries, enabling non-technical users to interact with structured data. While large language models (LLMs) have shown promising results on the text-t…
Text to SQLText-To-SQLvalidDRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
Large Language Models (LLMs) excel at many tasks but struggle with ambiguous scenarios where multiple valid responses exist, often yielding unreliable results. Conversely, Small Language Models (SLMs) demonstrate robustn…
Dialogue Evaluationvalid