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Lida Shi

6 accepted papers

2026

AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora

AAAI 2026technical

Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large language models needs benchmarks that can evaluate their comprehension of ancient characters. Existing Chinese benchmarks are mostly targeted at

Cited by 0SourcePDFScholar
2026

InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling

AAAI 2026technical

Constructing historical language models (LMs) plays a crucial role in aiding archaeological provenance studies and understanding ancient cultures. However, existing resources present major challenges for training effective LMs on historical texts. First, the scarcity of historical language samples r

Cited by 0SourcePDFScholar
2025

DGJA: Dependency Graph-enhanced Joint Attention Structure for Multimodal Sarcasm Detection

ICASSP 2025accepted

Multimodal sarcasm detection (MSD) leverages multimodal data, including both images and text, to detect whether the input content contains sarcastic information. Despite recent advances, existing MSD approaches often overlook the imbalance in sarcastic content between text and image modalities, wher…

Cited by 0SourceScholar
2024

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness

EMNLP 2024finding

Recently, there has been significant interest in replacing the reward model in Reinforcement Learning with Human Feedback (RLHF) methods for Large Language Models (LLMs), such as Direct Preference Optimization (DPO) and its variants. These approaches commonly use a binary cross-entropy mechanism on…

2022

A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction

EMNLP 2022main

Interactive argument pair identification is an emerging research task for argument mining, aiming to identify whether two arguments are interactively related. It is pointed out that the context of the argument is essential to improve identification performance. However, current context-based methods…