:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Chen, Chung-Chi, Takamura, Hiroya, Kobayashi, Ichiro, Miyao, Yusuke
Hōputu:	Preprint
I whakaputaina:	2024
Ngā marau:	Computation and Language Artificial Intelligence
Urunga tuihono:	https://arxiv.org/abs/2405.20708
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Distilling Analysis from Generative Models for Investment Decisions
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2024)

Hierarchical Organization Simulacra in the Investment Sector
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2024)

Enhancing Financial Sentiment Analysis with Expert-Designed Hint
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2024)

Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2024)

GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2024)

AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
mā: Murakami, Soichiro, me ētahi atu.
I whakaputaina: (2025)

Agent AI for Finance
mā: Chen, Chung-Chi, me ētahi atu.
I whakaputaina: (2025)

Prompting for Numerical Sequences: A Case Study on Market Comment Generation
mā: Kawarada, Masayuki, me ētahi atu.
I whakaputaina: (2024)

A Multi-Perspective Analysis of Memorization in Large Language Models
mā: Chen, Bowen, me ētahi atu.
I whakaputaina: (2024)

A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
mā: Chen, Bowen, me ētahi atu.
I whakaputaina: (2024)

Who Laughs with Whom? Disentangling Influential Factors in Humor Preferences across User Clusters and LLMs
mā: Murakami, Soichiro, me ētahi atu.
I whakaputaina: (2026)

Oogiri-Master: Benchmarking Humor Understanding via Oogiri
mā: Murakami, Soichiro, me ētahi atu.
I whakaputaina: (2025)

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
mā: Nishida, Ryo, me ētahi atu.
I whakaputaina: (2026)

Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches
mā: Afzal, Anum, me ētahi atu.
I whakaputaina: (2026)

Self-Emotion Blended Dialogue Generation in Social Simulation Agents
mā: Zhang, Qiang, me ētahi atu.
I whakaputaina: (2024)

How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control
mā: Li, Kunhang, me ētahi atu.
I whakaputaina: (2025)

DayDreamer at CQs-Gen 2025: Generating Critical Questions through Argument Scheme Completion
mā: Zhou, Wendi, me ētahi atu.
I whakaputaina: (2025)

FinTextQA: A Dataset for Long-form Financial Question Answering
mā: Chen, Jian, me ētahi atu.
I whakaputaina: (2024)

ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
mā: Zhou, Siying, me ētahi atu.
I whakaputaina: (2025)

Beyond Turing Test: Can GPT-4 Sway Experts' Decisions?
mā: Takayanagi, Takehiro, me ētahi atu.
I whakaputaina: (2024)

DocFinQA: A Long-Context Financial Reasoning Dataset
mā: Reddy, Varshini, me ētahi atu.
I whakaputaina: (2024)

Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments
mā: Feger, Marc, me ētahi atu.
I whakaputaina: (2025)

LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard
mā: Rao, Varun, me ētahi atu.
I whakaputaina: (2025)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
mā: Choi, Juhwan, me ētahi atu.
I whakaputaina: (2024)

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
mā: Jin, Song, me ētahi atu.
I whakaputaina: (2025)

Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
mā: Ben-Naim, Jonathan, me ētahi atu.
I whakaputaina: (2024)

Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
mā: Chen, Junjie, me ētahi atu.
I whakaputaina: (2024)

M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset
mā: Zhu, Jie, me ētahi atu.
I whakaputaina: (2025)

Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
mā: Rocha, Victor Hugo Nascimento, me ētahi atu.
I whakaputaina: (2024)

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
mā: Sviridova, Ekaterina, me ētahi atu.
I whakaputaina: (2024)

QuantumBench: A Benchmark for Quantum Problem Solving
mā: Minami, Shunya, me ētahi atu.
I whakaputaina: (2025)

End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
mā: Das, Nilmadhab, me ētahi atu.
I whakaputaina: (2025)

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
mā: Roush, Allen, me ētahi atu.
I whakaputaina: (2024)

LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights
mā: Chlapanis, Odysseas S., me ētahi atu.
I whakaputaina: (2024)

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
mā: Choi, Chanyeol, me ētahi atu.
I whakaputaina: (2025)

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
mā: Wang, Lionel Z., me ētahi atu.
I whakaputaina: (2024)

A Logical Fallacy-Informed Framework for Argument Generation
mā: Mouchel, Luca, me ētahi atu.
I whakaputaina: (2024)

R-Debater: Retrieval-Augmented Debate Generation through Argumentative Memory
mā: Li, Maoyuan, me ētahi atu.
I whakaputaina: (2025)

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
mā: Ruiz-Dolz, Ramon, me ētahi atu.
I whakaputaina: (2024)

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation
mā: Hu, Zhe, me ētahi atu.
I whakaputaina: (2024)