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SENSESHIFT: Continuous Sentiment-Controlled Text Generation via Encoder-based Mask Infilling
Recent controllable text generation (CTG) for sentiment control has largely focused on decoder-based large language models, making causal attention the dominant paradigm. While effective for fluent generation, these models still struggle to satisfy complex constraints and follow fine-grained sentiment signals specified...
When Deep Research Agents Stagnate: Enhancing Reasoning with Retrieval-Aware Agent Control
A set of unsupervised signals and a Retrieval-Aware Agent Controller (RAAC) are introduced, which assists the agent in selecting optimal actions at each stage of the research process, resulting in more effective reasoning trajectories that improve overall performance while reducing unnecessary iterations, and consequen...