Markus Leippold
17 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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The Questioner
(2)
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Unstoppable · Bronze
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Century Club · Bronze
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Research topics
Natural Language Processing
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Applications · Natural Language Processing
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Artificial Intelligence
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Machine Learning
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Learning Types · Machine Learning
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Resources & Methods
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Deep Learning
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Learning Types · Deep Learning
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Computer Science
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Applications · Computer Science
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Learning Paradigms
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Optimization & Theory
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Data Science & Analytics
(1)
Keywords
large language model
(8)
retrieval-augmented generation
(4)
text classification
(4)
information retrieval
(3)
information extraction
(2)
evidence extraction
(2)
stance detection
(1)
attention mechanism
(1)
domain adaptation
(1)
efficient computing
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question answering
(1)
extractive summarization
(1)
chain-of-thought reasoning
(1)
argument extraction
(1)
claim verification
(1)
multi-label classification
(1)
text summarization
(1)
multilingual nlp
(1)
named entity recognition
(1)
natural language inference
(1)
Papers
Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models
EACL 2026
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments
EACL 2026
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
EACL 2026
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach
EMNLP 2025
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
EMNLP 2025
DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation
NAACL 2025
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
ACL 2024
Assessing Large Language Models on Climate Information
ICML 2024
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
EMNLP 2024
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
ACL 2024
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools
EMNLP 2023
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets
EMNLP 2023
Environmental Claim Detection
ACL 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
ACL 2023
Towards Climate Awareness in NLP Research
EMNLP 2022
Generating Fact Checking Summaries for Web Claims
EMNLP 2020