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Found 9 papers, 8 papers with code
Reconfidencing LLMs from the Grouping Loss Perspective
In this work, we construct a new evaluation dataset derived from a knowledge base to assess confidence scores given to answers of Mistral and LLaMA.
Learning High-Quality and General-Purpose Phrase Representations
The framework employs phrase type classification as an auxiliary task and incorporates character-level information more effectively into the phrase representation.
The Locality and Symmetry of Positional Encodings
Positional Encodings (PEs) are used to inject word-order information into transformer-based language models.
GLADIS: A General and Large Acronym Disambiguation Benchmark
Acronym Disambiguation (AD) is crucial for natural language understanding on various sources, including biomedical reports, scientific papers, and search engine queries.
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
However, there is no consensus on which human evaluation criteria to use, and no analysis of how well automatic criteria correlate with them.
Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost
State-of-the-art NLP systems represent inputs with word embeddings, but these are brittle when faced with Out-of-Vocabulary (OOV) words.
Reasoning with Transformer-based Models: Deep Learning, but Shallow Reasoning
Recent years have seen impressive performance of transformer-based models on different natural language processing tasks.
The Vagueness of Vagueness in Noun Phrases
We manually analyze the frequency of vague noun phrases in a Wikipedia corpus, and find that 1/4 of noun phrases exhibit some form of vagueness.
A Lightweight Neural Model for Biomedical Entity Linking
Biomedical entity linking aims to map biomedical mentions, such as diseases and drugs, to standard entities in a given knowledge base.
