Papers by Aviya Maimon

3 papers
A Novel Computational Modeling Foundation for Automatic Coherence Assessment (2025.naacl-long)

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Challenge: Existing models for text coherence assessment rely on a proxy task . however, this approach does not capture the full range of factors contributing to coherency.
Approach: They propose a formal linguistic definition of what makes a discourse coherent and formalize these conditions as respective computational tasks that are jointly trained.
Outcome: The proposed model improves on two human-rated coherence benchmarks.
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP (2024.emnlp-main)

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Challenge: Improvements in language models’ capabilities have pushed their applications towards longer contexts, making long-context evaluation and development an active research area.
Approach: They propose to unpack the taxonomy of long-context based on the properties that make them more difficult with longer contexts.
Outcome: The proposed taxonomy is based on the properties that make them more difficult with longer contexts.
COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts (2023.emnlp-main)

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Challenge: linguistics has been used to assess the coherence of generated texts . a benchmark of coherency scores is developed to measure the quality of generated text .
Approach: They propose a benchmark to assess coherence of automatically generated texts . they use global and incremental methods to score sentences for coherency .
Outcome: The proposed benchmark measures human-perceived coherence of automatically generated texts . it uses global and incremental scoring, and shows that the models are unsatisfactory .

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