Beyond the greenwash: do LLMs' ecologically sound decisions hold up under pressure?
cs.CL
Submitted: 2026-10-12
Updated: 2026-10-12
Comments: 21 pages, 6 figures, 6 tables. Model fixtures released at https://huggingface.co/Bioaligned. Companion paper on corpus construction and cross-family installation in preparation
Code: https://github.com/Bioaligned/coupled_welfare_project
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- QLoRA: Efficient Finetuning of Quantized LLMs
- Alignment faking in large language models
- Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?
- Measuring Massive Multitask Language Understanding
- Designing and Interpreting Probes with Control Tasks
- LoRA: Low-Rank Adaptation of Large Language Models
- Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
- Measurement and Fairness
- Dynabench: Rethinking Benchmarking in NLP
- Bioalignment: Measuring and Improving LLM Disposition Toward Biological Systems for AI Safety
- Training language models to follow instructions with human feedback
- Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
- Discovering Language Model Behaviors with Model-Written Evaluations
- Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Safety Alignment Should Be Made More Than Just a Few Tokens Deep
- NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
- Evaluating the Moral Beliefs Encoded in LLMs
- Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
- Towards Understanding Sycophancy in Language Models
- AI Sandbagging: Language Models can Strategically Underperform on Evaluations
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