TSearch
Waktu: Semua Jam Hari Minggu Bulan Tahun  ·  Bahasa: Indonesia Semua

  1. Massachusetts' 2026 Clean Peak Standard Recalibration: Adaptation and Storage Tradeoffs

    http://arxiv.org/abs/2609.36468v1 · arxiv

    Massachusetts recalibrated its Clean Peak Standard (CPS) in 2026 by lowering the minimum standards and expanding the Near-Term Resource Multiplier for qualifying storage. This paper evaluates the change using a three-zone, hourly capacity expansion model for 2026--2030. Both scenarios achieve full C

  2. A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026

    http://arxiv.org/abs/2606.03948v1 · arxiv

    We implement simultaneous translation capability with the offline direct speech-to-text translation model Canary, using the state-of-the-art policy AlignAtt, and submit it to IWSLT 2026 Simultaneous Speech Translation Shared task for Czech to English and English to German and Italian. The strength

  3. LOCO 2026 Lightning Talk Abstracts: 2nd International Workshop on Low Carbon Computing

    http://arxiv.org/abs/2609.13355v1 · arxiv

    This volume contains the accepted lightning-talk contributions from the 2nd International Workshop on Low Carbon Computing (LOCO 2026), held at Lancaster University, United Kingdom, on 10-11 September 2026. The collection brings together 14 short papers presenting emerging research, early-stage resu

  4. Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)

    http://arxiv.org/abs/2606.27163v3 · arxiv

    I describe my solution to the LeHome Challenge 2026, an ICRA 2026 competition on bimanual garment folding. The system placed 1st of 62 teams in the online (simulation) round and 2nd in the real-world final. It improves a vision-language-action (VLA) policy with a reinforcement-learning loop. The pol

  5. ICASSP 2026 URGENT Speech Enhancement Challenge

    http://arxiv.org/abs/2601.13531v1 · arxiv

    The ICASSP 2026 URGENT Challenge advances the series by focusing on universal speech enhancement (SE) systems that handle diverse distortions, domains, and input conditions. This overview paper details the challenge's motivation, task definitions, datasets, baseline systems, evaluation protocols, an

  6. Writerslogic at the CLEF 2026 SimpleText Track: Multi-Candidate LLM Simplification and Stacked Complexity Spotting

    http://arxiv.org/abs/2610.03567v1 · arxiv

    We describe the Writerslogic team's participation in the CLEF 2026 SimpleText shared task, addressing Task 1 (text simplification) and Task 2 (complexity spotting). For Task 1, we develop a multi-candidate generation pipeline using GPT-4o-mini that produces five simplification candidates per sentenc

  7. POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan

    http://arxiv.org/abs/2603.24569v2 · arxiv

    Multimodal speaker identification systems typically assume the availability of complete and homogeneous audio-visual modalities during both training and testing. However, in real-world applications, such assumptions often do not hold. Visual information may be missing due to occlusions, camera failu

  8. The ICASSP 2026 Automatic Song Aesthetics Evaluation Challenge

    http://arxiv.org/abs/2601.07237v1 · arxiv

    This paper summarizes the ICASSP 2026 Automatic Song Aesthetics Evaluation (ASAE) Challenge, which focuses on predicting the subjective aesthetic scores of AI-generated songs. The challenge consists of two tracks: Track 1 targets the prediction of the overall musicality score, while Track 2 focuses

  9. ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims

    http://arxiv.org/abs/2603.26449v1 · arxiv

    Automatically verifying climate-related claims against scientific literature is a challenging task, complicated by the specialised nature of scholarly evidence and the diversity of rhetorical strategies underlying climate disinformation. ClimateCheck 2026 is the second iteration of a shared task add

  10. The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview

    http://arxiv.org/abs/2604.14558v1 · arxiv

    This paper presents the NTIRE 2026 image super-resolution ($\times$4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs generated through bicubic downsampling with a $\t

10 hasil · 794 md