Papers with information filtering

3 papers
A Deep Relevance Model for Zero-Shot Document Filtering (P18-1)

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Challenge: Existing methods for document classification do not consider document filtering . existing methods do not include document filter.
Approach: They propose a deep relevance model for zero-shot document filtering called DAZER . they use word embeddings to extract the relevance signals from word embeds .
Outcome: The proposed model outperforms existing models on two document collections . it estimates the relevance between a document and a category by using seed words .
InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment (2024.lrec-main)

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Challenge: Existing methods for multi-modal sentiment analysis have been developed to overcome these challenges.
Approach: They propose a method that utilizes a masking technique as the bottleneck for information filtering and integrates all modalities into a common feature space via domain adaptation.
Outcome: Extensive experiments on two benchmark MSA datasets show the proposed method performs better than baselines.
Make LLMs See Like Investigators, Not Just Think More: The Role of Structured Analysis in Investigative Reasoning (2026.acl-long)

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Challenge: Criminal investigators and intelligence analysts have developed structured analytic techniques to evaluate competing hypotheses under incomplete information.
Approach: They focus on the task of analyzing evidence from complex narratives and identifying the perpetrator among suspects using the MuSR murder mystery benchmark.
Outcome: The PRISM framework outperforms general-purpose strategies across all models, with its effectiveness manifesting regardless of model scale.

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