Papers
LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests
Jon Saad-Falcon, Rajan Pathe Vivek, William Berrios et al.
LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models
Ruijie Hou, Yueyang Jiao, Hanxu Hu et al.
Localizing Malicious Outputs from CodeLLM
Mayukh Borana, Junyi Liang, Sai Sathiesh Rajan et al.
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models
Tom Kempton, Stuart Burrell
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
Zeping Yu, Sophia Ananiadou
Lock on Target! Precision Unlearning via Directional Control
Yuntao Wen, Ruixiang Feng, Feng Guo et al.
LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions
Hongyu Sun, Yusuke Sakai, Haruki Sakajo et al.
Logically Constrained Decoding
Franklin Ma, Alan J. Hu
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
Ramya Keerthy Thatikonda, Wray Buntine, Ehsan Shareghi
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
Hengwei Liu, Yongliang Shen, Zhe Zheng et al.
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
Yanzhen Shen, Sihao Chen, Xueqiang Xu et al.
Logic-Thinker: Teaching Large Language Models to Think more Logically.
Chengyao Wen, Qiang Cheng, Shaofei Wang et al.
LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
Tianshi Zheng, Cheng Jiayang, Chunyang Li et al.
Logits-Based Finetuning
Jingyao Li, Senqiao Yang, Sitong Wu et al.
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
Jianfeng Deng, Qingfeng Chen, Debo Cheng et al.
Logos as a Well-Tempered Pre-train for Sign Language Recognition
Ilya Ovodov, Petr Surovtsev, Karina Kvanchiani et al.
LOHRec: Leveraging Order and Hierarchy in Generative Sequential Recommendation
Jiawen Xie, Haiyang Wu, Deyi Ji et al.
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition
Chenxin An, Zhihui Xie, Xiaonan Li et al.
Long Context Benchmark for the Russian Language
Igor Churin, Murat Apishev, Maria Tikhonova et al.
Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps
Yijiong Yu, Zhixiao Qi, Yongfeng Huang et al.
Long-context Reference-based MT Quality Estimation
Sami Haq, Chinonso Osuji, Sheila Castilho et al.
Long-Form Information Alignment Evaluation Beyond Atomic Facts
Danna Zheng, Mirella Lapata, Jeff Z. Pan
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture
Xidong Wang, Dingjie Song, Shunian Chen et al.
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
Liyao Li, Jiaming Tian, Hao Chen et al.