语言大模型 / LLM

Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting

Boying Li, Zhixi Cai, Yuan-Fang Li, Ian Reid, Hamid Rezatofighi

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments Accepted for publication at ICRA 2025. Code is available at https://github.com/LeeBY68/Hier-SLAM

Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results

Longyu Feng, Huahang Li, Chen Jason Zhang

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs

Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso, Hasan Kurban, Fabio Mercorio, Erchin Serpedin

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

DUAL: Diversity and Uncertainty Active Learning for Text Summarization

Petros Stylianos Giouroukis, Alexios Gidiotis, Grigorios Tsoumakas

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Perturbation-Restrained Sequential Model Editing

Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted by ICLR 2025

Can Structured Data Reduce Epistemic Uncertainty?

Shriram M S, Sushmitha S, Gayathri K S, Shahina A

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments Presented at NeLaMKRR@KR, 2024 (arXiv:2410.05339)

Why Trust in AI May Be Inevitable

Nghi Truong, Phanish Puranam, Ilia Testlin

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge

Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu, Elsa Olivetti, Ju Li

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 24 pages, 14 figure

An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning

Rui Jiao, Xiangzhe Kong, Li Zhang, Ziyang Yu, Fangyuan Ren, Wenjuan Tan, Wenbing Huang, Yang Liu

专题命中 知识编辑与模型理解 ：foundation model(abstract)；pretraining(abstract)；分类 cs.LG

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach

Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing

Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 20 pages, 11 figures. Published as a conference paper at ICLR 2025. Code at https://github.com/LINs-lab/CollabEdit

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs

Anirudh Phukan, Divyansh, Harshit Kumar Morj, Vaishnavi, Apoorv Saxena, Koustava Goswami

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted to NAACL 2025 Main

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment

Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Implicit Neural Representations of Molecular Vector-Valued Functions

Jirka Lhotka, Daniel Probst

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments This is a tiny paper track submission to the LRML workshop at ICLR

Data2Concept2Text: An Explainable Multilingual Framework for Data Analysis Narration

Flavio Bertini, Alessandro Dal Palù, Federica Zaglio, Francesco Fabiano, Andrea Formisano

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments In Proceedings ICLP 2024, arXiv:2502.08453

Journal ref EPTCS 416, 2025, pp. 139-152

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities

Chashi Mahiul Islam, Samuel Jacob Chacko, Preston Horne, Xiuwen Liu

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments 19 pages, 4 figures

On the Feasibility of In-Context Probing for Data Attribution

Cathy Jiao, Gary Gao, Aditi Raghunathan, Chenyan Xiong

专题命中 知识编辑与模型理解 ：LLM(abstract)；prompting(abstract)；分类 cs.CL

Comments NAACL 2025

Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering

Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted at NAACL 2025

M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base

Zhiwei Zha, Jiaan Wang, Zhixu Li, Xiangru Zhu, Wei Song, Yanghua Xiao

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments Accepted by CIKM2024. The code and data can be found at https://github.com/AwellmanZha/M2ConceptBase

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks

Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long

专题命中 知识编辑与模型理解 ：language model(abstract)；pretraining(abstract)；分类 cs.LG

CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification

Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments Accepted by AAAI 2025 main conference

VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance

Divyansh Srivastava, Ge Yan, Tsui-Wei Weng

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments Appeared at NeurIPS 2024

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs

Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments accepted by COLING 2025

Unveiling the Potential of Text in High-Dimensional Time Series Forecasting

Xin Zhou, Weiqing Wang, Shilin Qu, Zhiqiang Zhang, Christoph Bergmeir

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments Accepted by NeurIPS24 TSALM Workshop

The Future of AI: Exploring the Potential of Large Concept Models

Hussain Ahmad, Diksha Goel

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning

Ivan Kankeu, Stefan Gerd Fritsch, Gunnar Schönhoff, Elie Mounzer, Paul Lukowicz, Maximilian Kiefer-Emmanouilidis

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

LiLMaps: Learnable Implicit Language Maps

Evgenii Kruzhkov, Sven Behnke

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

On the Universal Truthfulness Hyperplane Inside LLMs

Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments EMNLP 2024: Camera-ready version

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis

Hongmei Wang, Junlin Hou, Hao Chen

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.AI

Comments 27 pages, 5 figures,

NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization

Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments AAAI 2025 Project Page: https://iamdanialkamali.github.io/publication/neuro-symbolic-concept-composer