MaxIM frames incremental memory summarization as an RL reward-shaping problem
A variational mutual-information critic supplies dense rewards so bounded summaries stay predictive of future task targets.
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A variational mutual-information critic supplies dense rewards so bounded summaries stay predictive of future task targets.
The fine-tuned Turkish GPT-2 beats a multilingual detector, but ties a zero-shot model on unseen speakers.
The model writes self-generated questions as retrieval keys and later answers user questions from parameters alone, with no external store.
The set has 36,278 forked dialogues, and FlowScore beats semantic similarity across seven encoders.
Cross-corpus analysis finds gaze patterns modestly correlate with grounding alignment in the MapTask and MUNDEX dialogue corpora.
ECHO benchmark pairs identical-overlap Chinese dialogue examples with contrasting contexts, revealing most full-duplex systems bias toward yielding the floor.
Probing finds transformers represent an inferred dialogue partner's expertise in early layers long before it causally influences output.
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