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MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning
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Builds Moral-Reason-QA (680 high-ambiguity MoralChoice scenarios with framework-specific reasoning traces for utilitarian, deontological, virtue ethics) and trains Qwen3-4B with GRPO plus a composite alignment/keyword reward to generalize moral frameworks to held-out scenarios.
Problem
Actively steering LLM agents' moral decisions toward a specified moral framework, and getting that behavior to generalize to scenarios outside the training distribution; prior work mostly evaluates morality or is limited to game-theoretic settings.
Approach
Cast framework-specific moral decision alignment as RL with GRPO, using a composite reward that combines a decision-alignment reward with a capped keyword reward on reasoning traces, and measure out-of-distribution alignment via a softmax-normalized alignment score.
Key results
- Utilitarian-aligned model raises OOD alignment score from 0.207 to 0.964 (+0.757) after GRPO.
- Deontological-aligned model raises score from 0.207 to 0.657 (+0.450), peaking at step 75.
- Virtue-aligned model shows no improvement; base model already biased toward virtue (0.586).
Surprising findings
- The base model's implicit virtue-ethics bias (0.586) made virtue-aligned GRPO training ineffective.
- Deontological performance declined after step 75, suggesting overfitting or instability.
Limitations
- Only three Western frameworks and a single base model (Qwen3-4B) tested.
- Virtue ethics alignment failed; deontological gains were unstable after step 75.
- Small evaluation set of 50 scenarios and keyword-based reasoning reward may not capture moral nuance.
Experimental setup
Datasets: MoralChoice
Benchmarks: Moral-Reason-QA held-out disagreement scenarios (50)
Metrics: softmax-normalized OOD alignment score alignment reward
Baselines: Qwen3-4B-Base before GRPO
Builds on: GRPO MoralChoice Qwen3-4B
Closest papers by meaning
- Moral Alignment for LLM Agents (ICLR 2025 · similarity 0.94)
- Many LLMs Are More Utilitarian Than One (NeurIPS 2025 · similarity 0.89)
- Human-Guided Moral Decision Making in Text-Based Games (AAAI 2024 · similarity 0.88)
- Language Model Alignment in Multilingual Trolley Problems (ICLR 2025 · similarity 0.88)
- Learning Human-like Representations to Enable Learning Human Values (NeurIPS 2024 · similarity 0.88)
- ME: Modelling Ethical Values for Value Alignment (AAAI 2025 · similarity 0.87)
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