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Found 11 papers, 5 papers with code
Arithmetic Reasoning with LLM: Prolog Generation & Permutation
We hypothesize that an LLM should focus on extracting predicates and generating symbolic formulas from the math problem description so that the underlying calculation can be done via an external code interpreter.
Exploring an LM to generate Prolog Predicates from Mathematics Questions
Consequently, we employ chain-of-thought to fine-tune LLaMA7B as a baseline model and develop other fine-tuned LLaMA7B models for the generation of Prolog code, Prolog code + chain-of-thought, and chain-of-thought + Prolog code, respectively.
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
Knowledge cluster classification is boosted from 0. 7924 to 0. 9333 in Recall@1.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Suffix Retrieval-Augmented Language Modeling
SUREALM employs an embedding retriever to search for training sentences in a data store that share similar word history during sequence generation.
UNITER-Based Situated Coreference Resolution with Rich Multimodal Input
Our model ranks second in the official evaluation on the object coreference resolution task with an F1 score of 73. 3% after model ensembling.
Ontology-Enhanced Slot Filling
In multi-domain task-oriented dialog system, user utterances and system responses may mention multiple named entities and attributes values.
Keyword-Attentive Deep Semantic Matching
Deep Semantic Matching is a crucial component in various natural language processing applications such as question and answering (QA), where an input query is compared to each candidate question in a QA corpus in terms of relevance.
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation
Rhetoric is a vital element in modern poetry, and plays an essential role in improving its aesthetics.
Read and Comprehend by Gated-Attention Reader with More Belief
GA Reader makes two assumptions: (1) a uni-directional attention that uses an input query to gate token encodings of a document; (2) encoding at the cloze position of an input query is considered for answer prediction.
Correlated Bigram LSA for Unsupervised Language Model Adaptation
We propose using correlated bigram LSA for unsupervised LM adaptation for automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
