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To handle the vast amounts of qualitative data produced in corporate climate communication, stakeholders increasingly rely on Retrieval Augmented Generation (RAG) systems.
Climate-fever: A dataset for verification of real-world climate claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian, Massimiliano Ciaramita, and Markus Leippold. 2021 · 2012
Earlier work this paper cites.
Climatext: A dataset for climate change topic detection
Francesco S. Varini, Jordan Boyd-Graber, Massimiliano Ciaramita, and Markus Leippold. 2021 · 2012
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
Earlier work this paper cites.
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
Earlier work this paper cites.
Ask BERT: How Regulatory Disclosure of Transition and Physical Climate Risks Affects the CDS Term Structure*
Julian F Kölbel, Markus Leippold, Jordy Rillaerts, and Qian Wang. 2022 · 2022
Earlier work this paper cites.
Self-rag: Learning to retrieve, generate, and critique through self-reflection
Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2023 · 2023
Earlier work this paper cites.
Aligning finance with adaptation and resilience goals: Targets and metrics for financial institutions
Mark Bernhofen and Nicola Ranger. 2023 · 2023
Earlier work this paper cites.
Benchmarking Large Language Models in Retrieval-Augmented Generation
Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun. 2023 · 2023
Earlier work this paper cites.
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
Jingwei Ni, Julia Bingler, Chiara Colesanti-Senni, Mathias Kraus, Glen Gostlow, Tobias Schimanski, Dominik Stammbach, Saeid Ashraf Vaghefi, Qian Wang, Nicolas Webersinke, Tobias Wekhof, Tingyu Yu, and Markus Leippold. 2023 · 2023
Earlier work this paper cites.
ClimateBERT-NetZero: Detecting and assessing net zero and reduction targets
Tobias Schimanski, Julia Bingler, Mathias Kraus, Camilla Hyslop, and Markus Leippold. 2023 · 2023
Cited alongside, same era.
The next generation of machine learning for tracking adaptation texts
Anne J. Sietsma, James D. Ford, and Jan C. Minx. 2023 · 2023
Cited alongside, same era.
Environmental claim detection
Dominik Stammbach, Nicolas Webersinke, Julia Anna Bingler, Mathias Kraus, and Markus Leippold. 2023 · 2023
Cited alongside, same era.
Chatclimate: Grounding conversational ai in climate science
Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Mathias Kraus, Simon Allen, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Qian Wang, Nicolas Webersinke, Christian Huggel, and Markus Leippold. 2023 · 2023
Cited alongside, same era.
Climate change reporting and human information processing – quo vadis transparency?
Rolf H. Weber and Rainer Baisch. 2023 · 2023
Cited alongside, same era.
Final rule: The enhancement and standardization of climate-related disclosures for investors
Security Exchange Commission. 2024 · 2024
Closest in time.
The Power of Noise: Redefining Retrieval for RAG Systems
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, and Fabrizio Silvestri. 2024 · 2024
Closest in time.
Automated fact-checking of climate change claims with large language models
Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Chiara Colesanti-Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Juerg Luterbacher, and Christian Huggel. 2024 · 2024
Closest in time.
Diras: Efficient llm-assisted annotation of document relevance in retrieval augmented generation
Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, and Markus Leippold. 2024 · 2024
Closest in time.
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How cheap talk in climate disclosures relates to climate initiatives, corporate emissions, and reputation risk
Julia Anna Bingler, Mathias Kraus, Markus Leippold, and Nicolas Webersinke. 2024 · 2024
Cited alongside, same era.
Assessing large language models on climate information
Jannis Bulian, Mike S Schäfer, Afra Amini, Heidi Lam, Massimiliano Ciaramita, Ben Gaiarin, Michelle Chen Huebscher, Christian Buck, Niels Mede, Markus Leippold, et al. 2023 · 2024
Cited alongside, same era.
Combining ai and domain expertise to assess corporate climate transition disclosures
Chiara Colesanti Senni, Tobias Schimanski, Julia Anna Bingler, Jingwei Ni, and Markus Leippold. 2024 · 2024
Cited alongside, same era.
Towards faithful and robust llm specialists for evidence-based question-answering
Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, and Markus Leippold. 2024a
Cited in the paper.
Bridging the gap in esg measurement: Using nlp to quantify environmental, social, and governance communication
Tobias Schimanski, Andrin Reding, Nico Reding, Julia Bingler, Mathias Kraus, and Markus Leippold. 2024b
Cited in the paper.
Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Randy Zhong, Juntong Song, and Tong Zhang. 2024 · 2024
Closest in time.
Ares: An automated evaluation framework for retrieval-augmented generation systems
Jon Saad-Falcon, Omar Khattab, Christopher Potts, and Matei Zaharia. 2024 · 2024
Closest in time.
Hallucibot: Is there no such thing as a bad question?
William Watson and Nicole Cho. 2024 · 2024
Closest in time.
Raft: Adapting language model to domain specific rag
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, and Joseph E. Gonzalez. 2024 · 2024
Closest in time.