Poster "large language models" Papers
455 papers found • Page 4 of 10
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, tao shen, Didi Zhu et al.
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
Zehui Chen, Kuikun Liu, Qiuchen Wang et al.
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
Jingyang Zhang, Jingwei Sun, Eric Yeats et al.
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang, Yue Liao, Jianhui Liu et al.
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
Haoyang Fang, Boran Han, Nick Erickson et al.
Model Provenance Testing for Large Language Models
Ivica Nikolic, Teodora Baluta, Prateek Saxena
MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation
Chu Xu, Xinke Jiang, Rihong Qiu et al.
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
Zhuo Chen, YIZHEN ZHENG, Huan Yee Koh et al.
More of the Same: Persistent Representational Harms Under Increased Representation
Jennifer Mickel, Maria De-Arteaga, Liu Leqi et al.
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
Aaron J. Li, Satyapriya Krishna, Hima Lakkaraju
Multi-Agent Collaboration via Evolving Orchestration
Yufan Dang, Chen Qian, Xueheng Luo et al.
Neural Interactive Proofs
Lewis Hammond, Sam Adam-Day
No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
Subhojyoti Mukherjee, Viet Lai, Raghavendra Addanki et al.
One Filters All: A Generalist Filter For State Estimation
Shiqi Liu, Wenhan Cao, Chang Liu et al.
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding et al.
On the Role of Attention Heads in Large Language Model Safety
Zhenhong Zhou, Haiyang Yu, Xinghua Zhang et al.
Open-Source vs Close-Source: The Context Utilization Challenge
Litu Ou
OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents
Zhaolin Hu, Yixiao Zhou, Zhongan Wang et al.
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
Hyunseung Lim, Sooyohn Nam, Sungmin Na et al.
Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost
Sheng Cao, Mingrui Wu, Karthik Prasad et al.
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
Pengcheng Huang, Zhenghao Liu, Yukun Yan et al.
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
Weifeng Lin, Xinyu Wei, Ruichuan An et al.
Perturbation-Restrained Sequential Model Editing
Jun-Yu Ma, Hong Wang, Hao-Xiang Xu et al.
PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Shi Qiu, Shaoyang Guo, Zhuo-Yang Song et al.
PlanU: Large Language Model Reasoning through Planning under Uncertainty
Ziwei Deng, Mian Deng, Chenjing Liang et al.
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory
Svetha Venkatesh, Kien Do, Hung Le et al.
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Zhijian Zhuo, Ya Wang, Yutao Zeng et al.
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
Private Training Large-scale Models with Efficient DP-SGD
Liangyu Wang, Junxiao Wang, Jie Ren et al.
Probabilistic Reasoning with LLMs for Privacy Risk Estimation
Jonathan Zheng, Alan Ritter, Sauvik Das et al.
Probabilistic Token Alignment for Large Language Model Fusion
Runjia Zeng, James Liang, Cheng Han et al.
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
Laura Ruis, Maximilian Mozes, Juhan Bae et al.
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang et al.
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He, Zhaopeng Tu, Xing Wang et al.
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
Arian Raje, Baris Askin, Divyansh Jhunjhunwala et al.
Reasoning Models Better Express Their Confidence
Dongkeun Yoon, Seungone Kim, Sohee Yang et al.
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
Song Wang, Junhong Lin, Xiaojie Guo et al.
Re-evaluating Open-ended Evaluation of Large Language Models
Si-Qi Liu, Ian Gemp, Luke Marris et al.
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
Yinghui Li, Haojing Huang, Jiayi Kuang et al.
Reinforcement Learning with Backtracking Feedback
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis et al.
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.
ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning
Ziyu Wan, Yunxiang Li, Xiaoyu Wen et al.
Representation Consistency for Accurate and Coherent LLM Answer Aggregation
Junqi Jiang, Tom Bewley, Salim I. Amoukou et al.
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation
Ruiqi Wang, Hao Zhang
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Mingyang Chen, Linzhuang Sun, Tianpeng Li et al.
Re-Thinking Inverse Graphics With Large Language Models
Haiwen Feng, Michael J Black, Weiyang Liu et al.