Search Results for author: Pengfei Hong

Found 9 papers, 8 papers with code

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

2 code implementations7 Jun 2023 Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria

Instruction-tuned large language models have revolutionized natural language processing and have shown great potential in applications such as conversational agents.

Recognizing Emotion Cause in Conversations

1 code implementation22 Dec 2020 Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea

We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.

Causal Emotion Entailment Emotion Cause Extraction

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

1 code implementation10 Sep 2020 Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria

This graph is fed to a graph attention network for context propagation among relevant nodes, which effectively captures the dialogue context.

Ranked #7 on Dialog Relation Extraction on DialogRE (F1c (v1) metric)

Dialog Relation Extraction Graph Attention +2

MIME: MIMicking Emotions for Empathetic Response Generation

1 code implementation EMNLP 2020 Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria

Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly.

Empathetic Response Generation Response Generation

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts

1 code implementation12 Nov 2022 Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria

To tackle this problem, we propose a novel method called Multimodal Probabilistic Fusion Prompts (MultiPoint) that leverages diverse cues from different modalities for multimodal sentiment detection in the few-shot scenario.

Language Modelling Multimodal Sentiment Analysis

Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction

1 code implementation18 May 2023 Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria

Therefore, how to select effective pseudo labels to denoise DS data is still a challenge in document-level distant relation extraction.

Denoising Document-level Relation Extraction +1

Caught in the Quicksand of Reasoning, Far from AGI Summit: Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions

1 code implementation17 Jan 2024 Pengfei Hong, Deepanway Ghosal, Navonil Majumder, Somak Aditya, Rada Mihalcea, Soujanya Poria

Recent advancements in Large Language Models (LLMs) have showcased striking results on existing logical reasoning benchmarks, with some models even surpassing human performance.

Arithmetic Reasoning Code Generation +3

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation

no code implementations4 May 2023 Pengfei Hong, Rishabh Bhardwaj, Navonil Majumdar, Somak Aditya, Soujanya Poria

Our experiments empirically show that the counterfactual samples sourced from our masked text lead to improved domain transfer on 10 out of 12 domain sentiment classification settings, with an average of 2% accuracy improvement over the state-of-the-art for unsupervised domain adaptation (UDA).

counterfactual intent-classification +5

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