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Found 7 papers, 3 papers with code
Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases.
MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation
This paper proposes a new dataset, MuDoCo, composed of authored dialogs between a fictional user and a system who are given tasks to perform within six task domains.
Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
Human communication often involves the use of verbal irony or sarcasm, where the speakers usually mean the opposite of what they say.
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization
We describe our exploratory system for the shallow surface realization task, which combines morphological inflection using character sequence-to-sequence models with a baseline linearizer that implements a tree-to-tree model using sequence-to-sequence models on serialized trees.
A Tree-to-Sequence Model for Neural NLG in Task-Oriented Dialog
Generating fluent natural language responses from structured semantic representations is a critical step in task-oriented conversational systems.
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
Generating fluent natural language responses from structured semantic representations is a critical step in task-oriented conversational systems.
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems
While acceptability includes grammatical correctness and semantic correctness, we focus only on grammaticality classification in this paper, and show that existing datasets for grammatical error correction don't correctly capture the distribution of errors that data-driven generators are likely to make.
