Papers
An LLM-based Temporal-spatial Data Generation and Fusion Approach for Early Detection of Late Onset Alzheimer’s Disease (LOAD) Stagings Especially in Chinese and English-speaking Populations
Yang Han, Jacqueline C.k. Lam, Victor O.k. Li et al.
FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
Gunjan Jalori, Preetika Verma, Sercan O Arik
Zipf’s and Heaps’ Laws for Tokens and LLM-generated Texts
Nikolay Mikhaylovskiy
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
Olga Kellert, Nemika Tyagi, Muhammad Imran et al.
SRM-LLM: Semantic Relationship Mining with LLMs for Temporal Knowledge Graph Extrapolation
Fu Zhang, Panfeng Zhang, Jingwei Cheng
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing
Jongwoo Kim, SeongYeub Chu, Bryan Wong et al.
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
Shouju Wang, Fenglin Yu, Xirui Liu et al.
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
Chiyu Ma, Enpei Zhang, Yilun Zhao et al.
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli et al.
Semantic-Aware Action Space Compression via LLM-DRL Synergy for Efficient Task-oriented Dialogue Policy Exploration
Yangyang Zhao, Ben Niu, Yuxuan Tan et al.
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
Zhaopeng Feng, Jiahan Ren, Jiayuan Su et al.
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren et al.
Tales of Morality: Comparing Human- and LLM-Generated Moral Stories from Visual Cues
Rezvaneh Rezapour, Sullam Jeoung, Zhiwen You et al.
IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration
Yq, Kaijie Gong, Yi Gao et al.
Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text
Pia Sommerauer, Giulia Rambelli, Tommaso Caselli
Feel the Difference? A Comparative Analysis of Emotional Arcs in Real and LLM-Generated CBT Sessions
Xiaoyi Wang, Jiwei Zhang, Guangtao Zhang et al.
A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling
Shiyu Ji, Farnoosh Hashemi, Joice Chen et al.
From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection
Junbao Huang, Weizhen Li, Peijie Huang et al.
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
Minghang Zhu, Zhengliang Shi, Zhiwei Xu et al.
Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
Marc Felix Brinner, Tarek Al Mustafa, Sina Zarrieß
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael JQ Zhang, Eunsol Choi
StructuThink: Reasoning with Task Transition Knowledge for Autonomous LLM-Based Agents
Haiyu Zhao, Zhenyu Guo, Chunhong Zhang et al.
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
Jizhi Zhang, Chongming Gao, Wentao Shi et al.
Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks
Rajarshi Haldar, Julia Hockenmaier