Search Results for author:
Found 12 papers, 3 papers with code
Technical Report on Shared Task in DialDoc21
The task requires identifying the grounding knowledge in form of a document span for the next dialogue turn.
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference
After adaptation, models are fine-tuned on encrypted versions of existing training datasets.
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses.
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting
Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing frictions.
Tetris-inspired detector with neural network for radiation mapping
Here we present a computational framework using Tetris-inspired detector pixels and machine learning for radiation mapping.
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
This paper introduces a novel Self-supervised Fine-grained Dialogue Evaluation framework (SelF-Eval).
Recent Progress in Conversational AI
Conversational artificial intelligence (AI) is becoming an increasingly popular topic among industry and academia.
Topological Signatures in Nodal Semimetals through Neutron Scattering
Topological nodal semimetals are known to host a variety of fascinating electronic properties due to the topological protection of the band-touching nodes.
Materials Science
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention
The comparison shows that our model could recover the transcription by integrating the fragmented information among hypotheses and identifying the frequent error patterns of the ASR module, and even rewrite the query for a better understanding, which reveals the characteristic of multi-task learning of broadcasting knowledge.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
A Survey of Document Grounded Dialogue Systems (DGDS)
We believe that extracting unstructured document(s) information is the future trend of the DS because a great amount of human knowledge lies in these document(s).
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
The NLU module usually uses the first best interpretation of a given speech in downstream tasks such as domain and intent classification.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
In the past, the semantic issues raised by the non-monotonic nature of aggregates often prevented their use in the recursive statements of logic programs and deductive databases.
