[EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]
#自然语言处理#WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.
Model Selection with Large Language Models for Reasoning (EMNLP2023 Findings)
Pytorch code for EMNLP 2023 accepted-main paper "How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning" and paper "Learning a Structural Causal Model for Intuition Reasoni...
codebase release for EMNLP2023 paper publication
Large Language Models are Temporal and Causal Reasoners for Video Question Answering (EMNLP 2023)
Code for our EMNLP 2023 paper - Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
Release repo for our work "Token Prediction as Implicit Classification to Identify LLM-Generated Text"