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Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolution
May 16, 2026Antoine Bourgois, Olga Seminck, Thierry PoibeauCoreference Resolution Large Language Model Adaptation
Voice "Cloning" is Style Transfer
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Attribute-Grounded Selective Reasoning for Artwork Emotion Understanding with Multimodal Large Language Models
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Position: Early-Stage Quality Assurance in Annotation Pipelines Is More Cost-Effective Than Late-Stage Validation
May 15, 2026Sunil Kothari, Sumukha Sharma Thoppanahalli Chandramouli, Naman Khandelwal +8Data Quality Annotations
Viverra: Text-to-Code with Guarantees
May 14, 2026Haoze Wu, Rocky Klopfenstein, Keith Farkas +1Code Generation Systemverilog Assertions
SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation
May 14, 2026Ivan Molodetskikh, Kirill Malyshev, Mark Mirgaleev +3Super-Resolution Framework Image Quality Assessment
Are Candidate Models Really Needed for Active Learning?
May 14, 2026Harshini Mridula Mohan, Maanya Manjunath, Vipul Arya +2Active Learning Convolutional Neural Networks
PiAnnotate: A Web Annotation Tool for Piano Fingering, with a Diagnostic Probe
May 14, 2026Joonhyung Bae, Kirak Kim, Hyeyoon Cho +8Piano Human Annotations
Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations
May 13, 2026Kyo Gerrits, Rik van Noord, Ana Guerberof ArenasLiterature Creativity
Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
May 13, 2026Nicola Debole, Andrea Passerini, Stefano Teso +2Concept Bottleneck Models Annotations
From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review
May 12, 2026Moussa Kassem Sbeyti, Joshua Holstein, Philipp Spitzer +2Annotations Visual Cues
Sign Language Recognition and Translation for Low-Resource Languages: Challenges and Pathways Forward
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Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science
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Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights
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Reducing Annotation Burden for Femoral Cartilage Segmentation in Knee MRI via Cross-Sequence Transfer Learning
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May 8, 2026I. F. Atasoy, B. Mutlu, E. A. Sezer +1Hallucination Detection Large Language Model Performance
CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
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Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
May 7, 2026Aditya Parikh, Stella Frank, Sneha Das +1Bias Mitigation Implicit Bias
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
May 7, 2026Maximilian Maurer, Maximilian Linde, Gabriella LapesaHuman Annotators Hate Speech
Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs
May 7, 2026Thomas Cory, Axel KüpperHuman Annotations Large Language Model Pipelines
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May 6, 2026Yukun Chen, Tianrui Wang, Zhaoxi Mu +2Singing Voice Conversion Large Audio Language Models
Annotation Quality in Aspect-Based Sentiment Analysis: A Case Study Comparing Experts, Students, Crowdworkers, and Large Language Model
May 5, 2026Niklas Donhauser, Jakob Fehle, Nils Constantin Hellwig +3Human Annotators Sentiment Analysis
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When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts
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Three Models of RLHF Annotation: Extension, Evidence, and Authority
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Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards
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Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
Apr 27, 2026Xinxin Liu, Ming Li, Zonglin Lyu +2Direct Preference Optimization Pseudo-Labeling
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Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop
Apr 27, 2026Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1Large Language Model Evaluation Llm-As-A-Judge
From Noisy Historical Maps to Time-Series Oil Palm Mapping Without Annotation in Malaysia and Indonesia (2020-2024)
Apr 26, 2026Nuttaset Kuapanich, Juepeng Zheng, Bohan Shi +6Forest Inventory Sentinel-2
Neural Grammatical Error Correction for Romanian
Apr 26, 2026Teodor-Mihai Cotet, Stefan Ruseti, Mihai DascaluGrammatical Error Correction Neural Machine Translation Models
An Analysis of Active Learning Algorithms using Real-World Crowd-sourced Text Annotations
Apr 25, 2026Varun Totakura, Ankita Singh, Yushun Dong +1Active Learning Unlabeled Data
Bridging the Pose-Semantic Gap: A Cascade Framework for Text-Based Person Anomaly Search
Apr 25, 2026Zequn Xie, Guijin Luo, Chuxin Wang +4Semantic Gap Human Annotations
Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations
Apr 24, 2026Maximilian Wachter, Sebastian Murgul, Michael HeizmannMusic Understanding Conversational Music Recommendation
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Apr 23, 2026Katharina Prasse, Steffen Jung, Isaac Bravo +4Social Media Large Vision Language Models
SemEval-2026 Task 4: Narrative Story Similarity and Narrative Representation Learning
Apr 23, 2026Hans Ole Hatzel, Ekaterina Artemova, Haimo Paul Stiemer +2Narratives Natural Language Processing Tasks
Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales
Apr 23, 2026Olufunke O. Sarumi, Charles Welch, Daniel BraunHuman Annotators Rationales

May 16, 2026 · cs.CLJ/K move · Enter open · S save

Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolution

Antoine Bourgois, Olga Seminck, Thierry Poibeau

Lattice (CNRS UMR 8094 & ENS-PSL & Universit´e Sorbonne Nouvelle), Montrouge, France

We present our submission to the LLM track of the 2026 Computational Models of Reference, Anaphora and Coreference (CRAC 2026) shared task. With an average CoNLL F1 score of 74.32 on the official test set, our system ranked first in the LLM track, and third overall. Our system is based on the Gemma-3-27b model, fine-tuned using a two-stage strategy with a multilingual base adapter followed by dataset-specific adapters. We represent mention spans by their headword using an XML-inspired format with local reindexing and annotate documents iteratively. These design choices proved effective across languages, document lengths, and annotation guidelines.

Coreference Resolution Large Language Model Adaptation Annotations Resolution

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