Papers with in-domain generalization

2 papers
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval (2022.findings-emnlp)

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Challenge: a new benchmark for natural language inference is proposed for long premises . lawngNLI can train and test systems for implication-based case retrieval and argumentation.
Approach: They propose a new natural language inference benchmark LawngNLI from U.S. legal opinions with automatic labels with high human-validated accuracy.
Outcome: The proposed benchmark can train and test systems for implication-based case retrieval and argumentation.
On the Universal Truthfulness Hyperplane Inside LLMs (2024.emnlp-main)

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Challenge: Recent studies have explored hallucinations through the lens of internal representations, proposing mechanisms to decipher LLMs’ adherence to facts.
Approach: They propose to train a universal truthfulness hyperplane that distinguishes the model’s factually correct and incorrect outputs on a diverse collection of over 40 datasets and examine its cross-task, cross-domain, and in-domain generalization.
Outcome: The proposed model is able to distinguish factual outputs from incorrect outputs on a diverse collection of over 40 datasets.

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