ASAP++
PulseAugur coverage of ASAP++ — every cluster mentioning ASAP++ across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework unifies essay scoring and feedback generation
Researchers have developed HiFTS, a novel autoregressive framework designed to improve automated essay scoring (AES) by integrating feedback generation with score prediction. This unified approach aims to enhance score-…
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New techniques boost AI essay scoring with limited data
Researchers have developed a novel approach to enhance Automated Essay Scoring (AES) systems, particularly in scenarios with limited labeled data. The proposed method integrates three techniques: a two-stage fine-tuning…
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New framework integrates essay scoring with adaptive feedback
Researchers have developed PsyScore, a novel framework designed to improve automated essay scoring (AES) by integrating assessment with instructional feedback. Unlike previous methods that treated these components separ…
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LLMs encode essay quality representations linearly, study finds
Researchers have investigated how large language models (LLMs) represent essay quality internally, finding that this information is encoded in a linearly accessible form within the models' representations. This informat…
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New framework evaluates LLM-generated essay feedback for pedagogical quality
Researchers have developed FeedEval, a new framework designed to evaluate the quality of feedback generated by large language models (LLMs) for essays. This system assesses feedback based on pedagogical principles like …