1 citations · 1 across the 4 of their papers we have counts for
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Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
Yongqi Li, Hao Lang, Tieyun Qian +1
Vision-language models are increasingly employed as multimodal conversational agents (MCAs) for diverse conversational tasks. Recently, reinforcement learning (RL) has been widely…
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Future superhuman models will surpass the ability of humans and humans will only be able to \textit{weakly} supervise superhuman models. To alleviate the issue of lacking high-qual…
Debate Helps Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Common methods for aligning already-capable models with desired behavior rely on the ability of humans to provide supervision. However, future superhuman models will surpass the ca…
Estimating Soft Labels for Out-of-Domain Intent Detection
Hao Lang, Yinhe Zheng, Jian Sun +3
Out-of-Domain (OOD) intent detection is important for practical dialog systems. To alleviate the issue of lacking OOD training samples, some works propose synthesizing pseudo OOD s…
Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision
Hao Lang, Wen Wang
We propose a learning approach for turn-level spoken language understanding, which facilitates a user to speak one or more utterances compositionally in a turn for completing a tas…