Cover Image

ClimateCause: Complex and Implicit Causal Structures in Climate Reports

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Allein, Liesbeth, Pineda-Castañeda, Nataly, Rocci, Andrea, Moens, Marie-Francine
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
by: Allein, Liesbeth, et al.
Published: (2025)

Anti-Overestimation Dialogue Policy Learning for Task-Completion Dialogue System
by: Tian, Chang, et al.
Published: (2022)

Learning to Plan Long-Term for Language Modeling
by: Mai, Florian, et al.
Published: (2024)

Learning to Plan for Language Modeling from Unlabeled Data
by: Cornille, Nathan, et al.
Published: (2024)

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
by: Borchert, Philipp, et al.
Published: (2024)

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation
by: Borchert, Philipp, et al.
Published: (2025)

DMON: A Simple yet Effective Approach for Argument Structure Learning
by: Sun, Wei, et al.
Published: (2024)

Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
by: Araujo, Vladimir, et al.
Published: (2024)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
by: Tian, Chang, et al.
Published: (2024)

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease
by: Theodoropoulos, Christos, et al.
Published: (2024)

Reduction of Supervision for Biomedical Knowledge Discovery
by: Theodoropoulos, Christos, et al.
Published: (2025)

Sequence-to-Sequence Spanish Pre-trained Language Models
by: Araujo, Vladimir, et al.
Published: (2023)

Computational Models to Study Language Processing in the Human Brain: A Survey
by: Wang, Shaonan, et al.
Published: (2024)

Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding
by: Trusca, Maria Mihaela, et al.
Published: (2025)

ClimateChat: Designing Data and Methods for Instruction Tuning LLMs to Answer Climate Change Queries
by: Chen, Zhou, et al.
Published: (2025)

Detecting Religious Language in Climate Discourse
by: Beijen, Evy, et al.
Published: (2025)

ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change
by: Thulke, David, et al.
Published: (2024)

Cause and Effect: Can Large Language Models Truly Understand Causality?
by: Ashwani, Swagata, et al.
Published: (2024)

CLINB: A Climate Intelligence Benchmark for Foundational Models
by: Huebscher, Michelle Chen, et al.
Published: (2025)

Gradually Excavating External Knowledge for Implicit Complex Question Answering
by: Liu, Chang, et al.
Published: (2026)

How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding
by: Luo, Jiamin, et al.
Published: (2024)

Structured Information for Improving Spatial Relationships in Text-to-Image Generation
by: Schildermans, Sander, et al.
Published: (2025)

ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction Following
by: Yang, Yuancheng, et al.
Published: (2026)

Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
by: Jelaca, Aleksa, et al.
Published: (2025)

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
by: Xu, Zhi, et al.
Published: (2026)

Assessing Large Language Models on Climate Information
by: Bulian, Jannis, et al.
Published: (2023)

Comparing Human and Large Language Model Interpretation of Implicit Information
by: De Santis, Antonio, et al.
Published: (2026)

Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights
by: Joe, Elphin Tom, et al.
Published: (2024)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
by: Xiong, Kai, et al.
Published: (2022)

Amadeus-Verbo Technical Report: The powerful Qwen2.5 family models trained in Portuguese
by: Cruz-Castañeda, William Alberto, et al.
Published: (2025)

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
by: Luo, Hang, et al.
Published: (2025)

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion
by: Gao, Jinglong, et al.
Published: (2024)

Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
by: Wang, Xinyi, et al.
Published: (2025)

"Image, Tell me your story!" Predicting the original meta-context of visual misinformation
by: Tonglet, Jonathan, et al.
Published: (2024)

Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations
by: Nuyts, Wolf, et al.
Published: (2024)

"The Dentist is an involved parent, the bartender is not": Revealing Implicit Biases in QA with Implicit BBQ
by: Wagh, Aarushi, et al.
Published: (2025)

Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA
by: Šuppa, Marek, et al.
Published: (2024)

Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
by: Cho, Yousang, et al.
Published: (2025)

Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers
by: Lys, Jonathan, et al.
Published: (2026)

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification
by: Hao, Zhifeng, et al.
Published: (2026)