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Found 8 papers, 5 papers with code
LLM Library Learning Fails: A LEGO-Prover Case Study
Recent advancements in the coding, reasoning, and tool-using abilities of LLMs have spurred interest in library learning (i. e., online learning through the creation, storage, and retrieval of reusable and composable functions, knowledge, checklists, or lemmas).
Library Learning Doesn't: The Curious Case of the Single-Use "Library"
Advances in Large Language Models (LLMs) have spurred a wave of LLM library learning systems for mathematical reasoning.
Attribute Diversity Determines the Systematicity Gap in VQA
Although modern neural networks often generalize to new combinations of familiar concepts, the conditions that enable such compositionality have long been an open question.
Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric
Our proposed metric achieves state-of-the-art performance on the HUMOD dataset while reducing measured sensitivity to dataset by 37%-66%.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on.
Neuro-Symbolic VQA: A review from the perspective of AGI desiderata
An ultimate goal of the AI and ML fields is artificial general intelligence (AGI); although such systems remain science fiction, various models exhibit aspects of AGI.
On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems
Automatically evaluating text-based, non-task-oriented dialogue systems (i. e., `chatbots') remains an open problem.
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP
Clinical machine learning is increasingly multimodal, collected in both structured tabular formats and unstructured forms such as freetext.
