Papers Coreference Resolution
“Coreference Resolution” 태그가 달린 논문 924편 · 필터 해제
Activation-Guided Neuron Intervention to Induce Alzheimer's-Related Computational Language Phenotypes in a Large Language Model
Changes in spontaneous speech provide an early signal of cognitive dysfunction in Alzheimer's disease (AD) that large language models (LLMs) can detect. However, detection alone cannot establish whether the underlying mo…
Coreference ResolutionImproving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging
Conversational information retrieval is challenging since it requires the consideration of the conversation history which potentially gives rise to topic shifts and coreference resolution across previous turns. To addres…
Coreference ResolutionInformation RetrievalFrom Gentlemen to Frontiermen: Masculine Formations in English-Language Fiction (1771--1930)
Masculinity in nineteenth-century fiction is not a single ideal but a field of competing scripts. Drawing on 150 British and American canonical novels from the txtLAB Novel450 corpus, published between 1771 and 1930, thi…
Coreference ResolutionIntroducing corpora Hlava Cor and Hlava AD: Human Label Variation in Coreference and Discourse Relations
As previous research on annotator disagreement in discourse phenomena has shown, understanding text coherence varies considerably from one individual to another. To explore this phenomenon, we created two corpora with mu…
Coreference ResolutionRandomized YaRN Improves Length Generalization for Long-Context Reasoning
Large language models (LLMs) are typically pretrained on short sequences and then extended to work on longer sequences with additional training. However, such LLMs still struggle to further generalize to very long sequen…
Coreference ResolutionPlug-and-Adapt: Multimodal Coreference Resolution at First Sight with a Pretrained Alignment Model
Visual information helps resolve ambiguity in coreference resolution, leading to notable performance gains. However, existing Multi-modal Coreference Resolution (MCR) methods require training with (partially) annotated d…
Coreference ResolutionMultilingual Coreference Resolution via Cycle-Consistent Machine Translation
Coreference resolution is a core NLP task, having a broad range of downstream applications, e.g.~machine translation, question answering, document summarization, etc. While the task is well-studied in English, comparativ…
Document SummarizationCoreference ResolutionMachine TranslationQuestion AnsweringCorPipe at CRAC 2026: Empty Nodes and Cross-Lingual Transfer in Multilingual Coreference Resolution
We introduce CorPipe 26, our winning submission to the CRAC 2026 Shared Task on Multilingual Coreference Resolution. The fifth edition of this shared task focuses mainly on the comparison of generative LLMs and specializ…
Cross-Lingual TransferCoreference ResolutionACC: Compiling Agent Trajectories for Long-Context Training
Recent development of agents has renewed demand for long-context reasoning capacity of LLMs. However, training LLMs for this capacity requires costly long-document curation or heuristic context synthesis. We observe that…
Coreference ResolutionFindings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
This paper describes the fifth edition of the Shared Task on Multilingual Coreference Resolution, held in conjunction with the CODI-CRAC 2026 workshop. Building on previous iterations, the task required participants to d…
Coreference ResolutionClosing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolution
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 ran…
Coreference ResolutionDeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
Agent-compiled knowledge bases provide persistent external knowledge for large language model (LLM) agents in open-ended, knowledge-intensive downstream tasks. Yet their quality is systematically limited by \emph{incompl…
Reinforcement LearningCoreference ResolutionInterpretable Coreference Resolution Evaluation Using Explicit Semantics
Coreference resolution is typically evaluated using aggregate statistical metrics such as CoNLL-F1, which measure structural overlap between predicted and gold clusters. While widely used, these metrics offer limited dia…
Coreference ResolutionData AugmentationMemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval
In agent memory systems, the reranking model serves as the critical bridge connecting user queries with long-term memory. Most systems adopt the "retrieve-then-rerank" two-stage paradigm, but generic reranking models rel…
Knowledge DistillationCoreference ResolutionContrastive LearningSemantic SimilarityIRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
When people recount personal memories, they often refer to people, places, and events indirectly, relying on con-textual cues rather than explicit names. Such implicit references are central to reminiscence narratives: f…
Coreference ResolutionEntity LinkingReasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems
Task-based dialogue systems assist users in achieving specific goals, such as executing actions or retrieving information, through natural language interactions. Accurate coreference resolution is essential, as it involv…
Task-Oriented Dialogue SystemsCoreference ResolutionPrompt EngineeringBeyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text
Coreference Resolution (CR) is a fundamental NLP task critical for long-form tasks as information extraction, summarization, and many business applications. However, CR methods originally designed for English struggle wi…
Information ExtractionCoreference ResolutionBiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking
Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite candidate for each response claim via s…
Coreference ResolutionFact VerificationDo Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions
We present our participation in the SOMD 2026 shared task on cross-document software mention coreference resolution, where our systems ranked second across all three subtasks. We compare two fine-tuning-free approaches: …
Coreference ResolutionSemantic Centroids and Hierarchical Density-Based Clustering for Cross-Document Software Coreference Resolution
This paper describes the system submitted to the SOMD 2026 Shared Task for Cross-Document Coreference Resolution (CDCR) of software mentions. Our approach addresses the challenge of identifying and clustering inconsisten…
Coreference Resolution