GHGbench supplies a harmonized dataset and multi-task benchmark for company and building carbon emission prediction, with baselines showing large OOD gaps and benefits from multimodal embeddings.
Climatebert: A pretrained language model for climate-related text
7 Pith papers cite this work. Polarity classification is still indexing.
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An NLP framework shows that liberals and conservatives use different semantic frames within the same metaphorical source domains when discussing immigration, while also uncovering nuanced frames in climate change coverage.
GraphMind equips LLM agents with graph awareness to construct human-like social networks, producing botnets that substantially degrade performance of both text-based and graph-based detectors.
HydroAgent fine-tunes Qwen3-4B on 2,576 expert calibration trajectories and applies Group-Relative Policy Optimization with NSE reward from live CREST simulations to improve hydrologic model calibration over frontier LLMs.
Further pre-training ModernBERT on US court opinions improves results on legal datasets compared to the base model, with gains similar to early BERT domain adaptation work.
Fine-tuned LLaMA 3.1-8B variants for the energy sector outperform the base model on domain QA benchmarks, with LoRA delivering similar gains at lower training cost.
A review of Earth science foundation models covering capability evolution from perception to discovery, applications across atmosphere/hydrosphere/lithosphere/biosphere/anthroposphere/cryosphere, over 200 datasets, and key challenges.
citing papers explorer
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GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction
GHGbench supplies a harmonized dataset and multi-task benchmark for company and building carbon emission prediction, with baselines showing large OOD gaps and benefits from multimodal embeddings.
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Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames
An NLP framework shows that liberals and conservatives use different semantic frames within the same metaphorical source domains when discussing immigration, while also uncovering nuanced frames in climate change coverage.
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Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents
GraphMind equips LLM agents with graph awareness to construct human-like social networks, producing botnets that substantially degrade performance of both text-based and graph-based detectors.
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HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL
HydroAgent fine-tunes Qwen3-4B on 2,576 expert calibration trajectories and applies Group-Relative Policy Optimization with NSE reward from live CREST simulations to improve hydrologic model calibration over frontier LLMs.
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Legal Domain Adaptation of Modern BERT Models
Further pre-training ModernBERT on US court opinions improves results on legal datasets compared to the base model, with gains similar to early BERT domain adaptation work.
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Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector
Fine-tuned LLaMA 3.1-8B variants for the energy sector outperform the base model on domain QA benchmarks, with LoRA delivering similar gains at lower training cost.
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Earth Science Foundation Models: From Perception to Reasoning and Discovery
A review of Earth science foundation models covering capability evolution from perception to discovery, applications across atmosphere/hydrosphere/lithosphere/biosphere/anthroposphere/cryosphere, over 200 datasets, and key challenges.