语言大模型 / LLM

Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li

机构 * Stanford University（斯坦福大学） ； Fellou AI（Fellou人工智能） ； Fudan University（复旦大学） ； South China University of Technology（华南理工大学） ； Cornell University（康奈尔大学） ； University of California San Diego（加州大学圣地亚哥分校） ； Wuhan University（武汉大学） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Hong Kong Polytechnic University（香港理工大学） ； University of Southern California（南加州大学） ； Carnegie Mellon University（卡内基梅隆大学） ； LiveX AI（LiveX人工智能） 纠错

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

Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind

Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum

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

Comments 23 pages; Published at the Transactions of the Association for Computational Linguistics (TACL); Presented at NAACL 2025

Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search

Fabio Pavirani, Jonas Van Gompel, Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder

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

Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis

Shuai Jiang, Saeed Hassanpour

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

Understanding Contrastive Representation Learning from Positive Unlabeled (PU) Data

Anish Acharya, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael Rabbat, Sujay Sanghavi, Inderjit S Dhillon

专题命中 知识编辑与模型理解 ：SFT(abstract)；分类 cs.AI、cs.LG

Can ChatGPT Learn My Life From a Week of First-Person Video?

Keegan Harris

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

Calibrating Expressions of Certainty

Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells, Tina Kapur, Polina Golland

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

Comments International Conference on Learning Representations (ICLR), 2025

PAARS: Persona Aligned Agentic Retail Shoppers

Saab Mansour, Leonardo Perelli, Lorenzo Mainetti, George Davidson, Stefano D'Amato

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

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics

Swarnava Bhattacharyya, Umapada Pal, Tapabrata Chakraborti

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

An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning

Julien Soulé, Jean-Paul Jamont, Michel Occello, Louis-Marie Traonouez, Paul Théron

专题命中 知识编辑与模型理解 ：post-training(abstract)；分类 cs.AI、cs.LG

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu

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

MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification

Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk

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

Discriminative protein sequence modelling with Latent Space Diffusion

Eoin Quinn, Ghassene Jebali, Maxime Seince, Oliver Bent

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

Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach

Adam Wojciechowski, Mateusz Lango, Ondrej Dusek

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

Comments Findings of EMNLP 2024

TraSCE: Trajectory Steering for Concept Erasure

Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir Memon, Julian Togelius, Yuki Mitsufuji

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

Challenging Assumptions in Learning Generic Text Style Embeddings

Phil Ostheimer, Marius Kloft, Sophie Fellenz

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

Comments Proceedings of the Sixth Workshop on Insights from Negative Results in NLP at NAACL-HLT

Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

Nithin Parsan, David J. Yang, John J. Yang

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

Comments Published at the GEMBio ICLR 2025 Workshop

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

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

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li

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

Comments Accepted by AAAI25

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding

Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu

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

Comments 11 pages, accepted to AAAI 2025 (main conference), the code is available at https://github.com/zerohd4869/InfoMTL

TEARS: Textual Representations for Scrutable Recommendations

Emiliano Penaloza, Olivier Gouvert, Haolun Wu, Laurent Charlin

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

Continuous Adversarial Text Representation Learning for Affective Recognition

Seungah Son, Andrez Saurez, Dongsoo Har

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

Comments 6 pages, 3 figures, The 7th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2025)

LettuceDetect: A Hallucination Detection Framework for RAG Applications

Ádám Kovács, Gábor Recski

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

Comments 6 pages

Can Hallucination Correction Improve Video-Language Alignment?

Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla, Hal Daumé, Kwonjoon Lee

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

Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering

Santhosh Thottingal

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

How Jailbreak Defenses Work and Ensemble? A Mechanistic Investigation

Zhuohang Long, Siyuan Wang, Shujun Liu, Yuhang Lai, Xuanjing Huang, Zhongyu Wei

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

A Multimodal Automated Interpretability Agent

Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

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

Comments 25 pages, 13 figures

We Can't Understand AI Using our Existing Vocabulary

John Hewitt, Robert Geirhos, Been Kim

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

Comments Position paper

EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification

Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

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

A Practical Method for Generating String Counterfactuals

Matan Avitan, Ryan Cotterell, Yoav Goldberg, Shauli Ravfogel

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

Comments Preprint