Search Results for author: Luis A. Lastras

Found 7 papers, 2 papers with code

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

no code implementations23 Feb 2024 Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras

There is a growing need for Large Language Models (LLMs) to effectively use tools and external Application Programming Interfaces (APIs) to plan and complete tasks.

Benchmarking slot-filling +2

Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs

1 code implementation20 May 2023 Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras

PMI quantifies the extent to which the document influences the generated response -- with a higher PMI indicating a more faithful response.

Response Generation

DG2: Data Augmentation Through Document Grounded Dialogue Generation

no code implementations SIGDIAL (ACL) 2022 Qingyang Wu, Song Feng, Derek Chen, Sachindra Joshi, Luis A. Lastras, Zhou Yu

Collecting data for training dialog systems can be extremely expensive due to the involvement of human participants and need for extensive annotation.

Data Augmentation Dialogue Generation

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

2 code implementations EMNLP 2020 Song Feng, Hui Wan, Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents.

Lattice Representation Learning

no code implementations24 Jun 2020 Luis A. Lastras

In this article we introduce theory and algorithms for learning discrete representations that take on a lattice that is embedded in an Euclidean space.

Quantization Representation Learning

Doc2Dial: a Framework for Dialogue Composition Grounded in Business Documents

no code implementations NeurIPS Workshop Document_Intelligen 2019 Song Feng, Kshitij Fadni, Q. Vera Liao, Luis A. Lastras

We introduce Doc2Dial, an end-to-end framework for generating conversational data grounded in business documents via crowdsourcing.

Information Theoretic Lower Bounds on Negative Log Likelihood

no code implementations12 Apr 2019 Luis A. Lastras

One way to address this question is to find an upper bound on the probability (equivalently a lower bound on the negative log likelihood) that the model can assign to some data as one varies the prior and/or the likelihood function in a latent variable model.

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