Papers with CR

7 papers
On the Influence of Coreference Resolution on Word Embeddings in Lexical-semantic Evaluation Tasks (2020.lrec-1)

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Challenge: Existing word embeddings rely on local information delimited by context windows or dependency parents to predict word relations.
Approach: They propose to use coreference resolution to find all spans of a text that refer to the same entity to improve the F1-Scores.
Outcome: The proposed methods do not benefit significantly from pronoun substitution.
Z-coref: Thai Coreference and Zero Pronoun Resolution (2024.acl-srw)

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Challenge: limited research and datasets pose significant challenges in Thai language . a proposed model capable of simultaneously handling CR and ZPR tasks takes less time to train .
Approach: They propose to annotate a Thai-based CR and ZPR dataset and introduce a model that can handle both tasks by adjusting the span definition to include token gaps.
Outcome: The proposed model outperforms the state-of-the-art in resolving both coreference resolution and zero-pronoun resolution while taking less time to train.
CausalEval: Towards Better Causal Reasoning in Language Models (2025.naacl-long)

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Challenge: Large language models (LLMs) have been used for a variety of tasks, including problem-solving, decision-making, and understanding of the world.
Approach: They propose a review of existing methods aimed at enhancing LMs for causal reasoning . they categorize existing methods as reasoning engines or as helpers providing knowledge or data to traditional methods .
Outcome: The proposed methods perform better than existing methods on a range of tasks.
ASTRID - An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems (2025.findings-acl)

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Challenge: Current automated RAG metrics perform poorly in clinical and conversational use cases.
Approach: They propose an automated and scaleable TRIaD for evaluating clinical QA systems leveraging Retrieval Augmented Generation (RAG) metric consisting of three metrics: Context Relevance (CR), Refusal Accuracy (RA), and Conversational Faithfulness (CF).
Outcome: The proposed metric captures the faithfulness of a model’s response without penalising conversational elements and captures refusal to address questions outside of the system’s scope of practice.
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge (2023.acl-long)

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Challenge: CR is the ability to understand and navigate the world using basic knowledge and understanding shared by most people.
Approach: They propose to incorporate pretrained knowledge into NMT models and use them as robust testbeds for investigating CR in NMT.
Outcome: The proposed method improves the training of NMT models with high CR abilities and provides accurate evaluation metrics.
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective (2024.findings-acl)

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Challenge: a recent study shows that evaluations of CR models on multiple datasets conflate different factors concerning what is being measured.
Approach: They propose to view evaluations through the lens of measurement modeling . they show that evaluations risk conflating different factors concerning what is being measured .
Outcome: The evaluations on seven datasets show that models that reflect coreference generalization are often correlated with differences in how coreference is defined and operationalized.
Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues (2025.emnlp-main)

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Challenge: Existing approaches to cognitive restructuring (CR) are limited by entrenched cognitive distortions, emotional resistance, and individual differences.
Approach: They propose a framework that structures CR as theory-grounded multi-stage multi-turn dialogue and a multi-channel loop mechanism to account for diverse individual distortions.
Outcome: The proposed framework integrates supportive strategies for emotional management and a multi-channel loop mechanism to account for diverse individual distortions.

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