Papers
16,749 papers found
Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights
Alex Chandler, Harika Abburi, Sanmitra Bhattacharya et al.
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
Chuyuan Li, Raymond Li, Thalia S. Field et al.
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models
Seunguk Yu, Juhwan Choi, YoungBin Kim
DEMON at SemEval-2025 Task 10: Fine-tuning LLaMA-3 for Multilingual Entity Framing
Matteo Fenu, Manuela Sanguinetti, Maurizio Atzori
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
Zihan Qiu, Zeyu Huang, Bo Zheng et al.
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
Minzheng Wang, Xinghua Zhang, Kun Chen et al.
Demystifying Small Language Models for Edge Deployment
Zhenyan Lu, Xiang Li, Dongqi Cai et al.
DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
Lin Mu, Xiaoyu Wang, Li Ni et al.
Dense Retrieval with Quantity Comparison Intent
Prayas Agrawal, Nandeesh Kumar K M, Muthusamy Chelliah et al.
Deontological Keyword Bias: The Impact of Modal Expressions on Normative Judgments of Language Models
Bumjin Park, Jinsil Lee, Jaesik Choi
DependEval: Benchmarking LLMs for Repository Dependency Understanding
Junjia Du, Yadi Liu, Hongcheng Guo et al.
DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction
Solee Im, Wonjun Lee, JinMyeong An et al.
Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning
Guangya Wan, Yuqi Wu, Hao Wang et al.
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models
Taiga Someya, Ryo Yoshida, Hitomi Yanaka et al.
Design Choices for Extending the Context Length of Visual Language Models
Mukai Li, Lei Li, Shansan Gong et al.
Designing and Contextualising Probes for African Languages
Wisdom Aduah, Francois Meyer
DeTAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification
Yu Li, Han Jiang, Zhihua Wei
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
Luca Cagliero, Lorenzo Vaiani, Eliana Pastor et al.
Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models
Alexandre Puttick, Mascha Kurpicz-Briki
Detecting Child Objectification on Social Media: Challenges in Language Modeling
Miriam Schirmer, Angelina Voggenreiter, Juergen Pfeffer et al.
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
Yupeng Cao, Chun-Nam Yu, K.p. Subbalakshmi
Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset
Michele Joshua Maggini, Davide Bassi, Pablo Gamallo
Detecting Manipulation in Ukrainian Telegram: A Transformer-Based Approach to Technique Classification and Span Identification
Md. Abdur Rahman, Md Ashiqur Rahman
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models
Bram Willemsen, Gabriel Skantze
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski, Christine de Kock