Tag: Alignment
All the articles with the tag "Alignment".
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Belief Injection for Epistemic Control in Linguistic State Space
This paper proposes belief injection as a proactive epistemic control mechanism to shape AI agents' internal linguistic belief states within the Semantic Manifold framework, offering diverse strategies for guiding reasoning and alignment, though it lacks empirical validation.
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Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
This paper proposes a three-dimensional taxonomy and develops TTP and HarmFormer tools to filter harmful content from web-scale LLM pretraining datasets, revealing significant toxicity prevalence and persistent safety gaps through benchmarks like HAVOC.
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Reward Reasoning Model
本文提出奖励推理模型(RRMs),通过链式推理过程在生成奖励前自适应利用测试时计算资源,在多个奖励建模基准和实际应用中显著提升性能,尤其在复杂推理任务上表现优异。
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Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
本文通过系统性实验证明,纯强化学习(RL)训练不仅提升大型语言模型的复杂推理能力,还能隐式培养过程奖励模型(PRM)能力,提出Self-PRM框架以进一步改进性能,但也揭示了其在高难度问题上的低精度局限。
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Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling
本文提出响应条件Bradley-Terry(Rc-BT)模型,通过区分语义意图和长度指令,显著缓解大语言模型在RLHF中的长度偏见,并提升长度指令遵循能力,实验验证了其在多个模型和数据集上的优越性。