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Xuying Meng

7 accepted papers

2026

GTool: Graph Enhanced Tool Planning with Large Language Model

ICLR 2026poster

Tool planning with large language models (LLMs), referring to selecting, organizing, and preparing the tools necessary to complete a user request, bridges the gap between natural language understanding and task execution. However, current works treat different tools as isolated components and fail t…

Cited by 0SourceScholar
2026

SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis

AAAI 2026technical

The proliferation of high-quality text from Large Language Models (LLMs) demands reliable and efficient detection methods. While existing training-free approaches show promise, they often rely on surface-level statistics and overlook fundamental signal properties of the text generation process. In t

Cited by 0SourcePDFScholar
2025

Not All Layers of LLMs Are Necessary During Inference

IJCAI 2025

Due to the large number of parameters, the inference phase of Large Language Models (LLMs) is resource-intensive. However, not all requests posed to LLMs are equally difficult to handle. Through analysis, we show that for some tasks, LLMs can achieve results comparable to the final output at some in

Cited by 0SourcePDFScholar
2024

Spectral-Based Graph Neural Networks for Complementary Item Recommendation

AAAI 2024technical

Modeling complementary relationships greatly helps recommender systems to accurately and promptly recommend the subsequent items when one item is purchased. Unlike traditional similar relationships, items with complementary relationships may be purchased successively (such as iPhone and Airpods Pro)…

2022

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

NAACL 2022findings

Sarcasm employs ambivalence, where one says something positive but actually means negative, and vice versa. The essence of sarcasm, which is also a sufficient and necessary condition, is the conflict between literal and implied sentiments expressed in one sentence. However, it is difficult to recogn…

2022

CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts

EMNLP 2022finding

Comparative opinion is a common linguistic phenomenon. The opinion is expressed by comparing multiple targets on a shared aspect, e.g., “camera A is better than camera B in picture quality”. Among the various subtasks in opinion mining, comparative opinion classification is relatively less studied.…

Cited by 6SourcePDFScholar
2022

CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction

COLING 2022main

Quotation extraction aims to extract quotations from written text. There are three components in a quotation: source refers to the holder of the quotation, cue is the trigger word(s), and content is the main body. Existing solutions for quotation extraction mainly utilize rule-based approaches and s…