arXiv AI
Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation
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Safe Inference-Time Alignment via Lagrangian Reward Augmentation
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Behavioral Reprogramming of Open-Weights Models: Cognitive Plasticity and Alignment Bounds
arXiv:2608. 13069v1 Announce Type: new Abstract: Large language models (LLMs) are predominantly aligned to function as passive, sycophantic assistants.
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VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
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Enhancing Automated Essay Scoring With Three Techniques: Two-Stage Fine-Tuning, Score Alignment, and Self-Training
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Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking
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M-GATE: Multilingual Grammar, Accuracy in Translation, and Efficiency Benchmark for Large Language Models
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