Papers
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation
Sheng Liang, Hang Lv, Zhihao Wen et al.
Token Knowledge: A New Perspective For Knowledge in Large Language Models
Jieyong Wang, Chunyao Song, Tingjian Ge
ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
Jeesu Jung, Chanjun Park, Sangkeun Jung
LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
Liangqi Yuan, Dong-Jun Han, Christopher Brinton et al.
Leveraging 3D Gaussian for Temporal Knowledge Graph Embedding
Jiang Li, Xiangdong Su, Guanglai Gao
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
Seunghyuk Cho, Zhenyue Qin, Yang Liu et al.
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
JianZhi Yan, Le Liu, Youcheng Pan et al.
Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning
Zhuoyue Chen, Jihai Zhang, Ben Liu et al.
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents
Pengzhou Cheng, Haowen Hu, Zheng Wu et al.
AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark
Lan Li, Liri Fang, Bertram Ludäscher et al.
StepKE: Stepwise Knowledge Editing for Multi-Hop Question Answering
Jaewook Lee, Dahyun Jung, Heuiseok Lim
Enriching Patent Claim Generation with European Patent Dataset
Lekang Jiang, Chengzu Li, Stefan Goetz
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
Yunzhe Qi, Jinjin Tian, Tianci Liu et al.
MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
Ziyao Xu, Zhe Yang, Houfeng Wang
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
Kyungmin Kim, Youngbin Choi, Hyounghun Kim et al.
Temporal Alignment of Time Sensitive Facts with Activation Engineering
Sanjay Govindan, Maurice Pagnucco, Yang Song
AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking
Ding-Chu Zhang, Xiaowen Zhang, Yue Fei et al.
Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models
Yanhong Li, Min Yang, Xiping Hu et al.
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
Chengbing Wang, Yang Zhang, Zhicheng Wang et al.
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
Euntae Choi, Sumin Song, Woosang Lim et al.
GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
Xinrong Chen, Hengyuan Zhang, Yingmin Qiu et al.
CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning
Jinyuan Feng, ChaoPeng Wei, Tenghai Qiu et al.
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts
Wenhao Zheng, Liaoyaqi Wang, Dongshen Peng et al.
Towards Reverse Engineering of Language Models: A Survey
Xinpeng Ti, Wentao Ye, Zhifang Zhang et al.