Most Cited 2025 "labeled-unlabeled interaction" Papers
22,274 papers found • Page 112 of 112
Conference
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
Qixin Zhang, Wei Huang, Can Jin et al.
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
Xize Liang, Lin Yang, Jie Wang et al.
Improving Table Understanding with LLMs and Entity-Oriented Search
Thi-Nhung Nguyen, Hoang Ngo, Dinh Phung et al.
Implicit Subgraph Neural Network
Yongjian Zhong, Liao Zhu, Hieu Vu et al.
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
Xinsong Ma, Jie Wu, Weiwei Liu
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
Dongmin Bang, Inyoung Sung, Yinhua Piao et al.
Truth-value judgment in language models: ‘truth directions’ are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov et al.
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
Siyuan Xu, Minghui Zhu
Cutting the Root of Hallucination: Structural Trimming for Vulnerability Mitigation in Code LLMs
Yage Zhang
QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline
Tianyi Bao, Ruizhe Zhong, Xinyu Ye et al.
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
Maynara de Souza, Cleber Zanchettin
RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control
Mingyuan Li, Jiahao Wang, Guangsheng Yu et al.
False Coverage Proportion Control for Conformal Prediction
Alexandre Blain, Thirion Bertrand, Pierre Neuvial
Multiobjective distribution matching
Xiaoyuan Zhang, Peijie Li, Ying Ying YU et al.
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
Rohan Phanse, Ej Zhou, Kejian Shi et al.
Readability ≠ Learnability: Rethinking the Role of Simplicity in Training Small Language Models
Ivan Lee, Taylor Berg-Kirkpatrick
Synthetic Data Generation and Multi-Step Reinforcement Learning for Reasoning and Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou et al.
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
Fengqiang Wan, Yang Yang
REFA: Reference Free Alignment with Fine-Grained Length Control
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
Jayadev Naram, Fredrik Hellström, Ziming Wang et al.
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
Abhay Yadav
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa, Teruko Mitamura
Unified K-Means Clustering with Label-Guided Manifold Learning
Qianqian Wang, Mengping Jiang, Zhengming Ding et al.
Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
MingCai Chen, Baoming Zhang, Zongbo Han et al.
How does Watermarking Affect Visual Language Models in Document Understanding?
Chunxue Xu, Yiwei Wang, Bryan Hooi et al.
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Justin Lovelace, Christian K Belardi, Sofian Zalouk et al.
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
Zihan Huang, Junda Wu, Rohan Surana et al.
LawFlow: Collecting and Simulating Lawyers’ Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar et al.
Reasoning Models Know When They’re Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan et al.
Pruning for GNNs: Lower Complexity with Comparable Expressiveness
Dun Ma, Jianguo Chen, Wenguo Yang et al.
Yourbench: Dynamic Evaluation Set Generation with LLMs
Sumuk Shashidhar, Clémentine Fourrier, Alina Lozovskaya et al.
NoWag: A Unified Framework for Shape Preserving Com- pression of Large Language Models
Lawrence Ray Liu, Inesh Chakrabarti, Yixiao Li et al.
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija et al.
E$^2$-RAG: Towards Editable Efficient RAG by Editing Compressed KV Caches
Tongxu Luo, Wenyu Du, HanWen Hao et al.
Login
I. Arce, Emiliano Kargieman, G. Richarte et al.
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao
LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
Elizabeth M Fons Etcheverry, Alejandro Sztrajman, Yousef El-Laham et al.
Impact of LLM Alignment on Impression Formation in Social Interactions
Ala N. Tak, Anahita Bolourani, Daniel B. Shank et al.
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
Pengyi Li, Jianye Hao, Hongyao Tang et al.
Breakpoint: Stress-testing systems-level reasoning in LLM agents
Kaivalya Hariharan, Uzay Girit, Zifan Wang et al.
Rhapsody: A Dataset for Highlight Detection in Podcasts
Younghan Park, Anuj Diwan, David Harwath et al.
Learning Parametric Distributions from Samples and Preferences
Marc Jourdan, Gizem Yüce, Nicolas Flammarion
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke
QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization
Shiyue Zhang, David Wan, Arie Cattan et al.
Volume-Aware Distance for Robust Similarity Learning
Shuo Chen, Chen Gong, Jun Li et al.
Rethinking Associative Memory Mechanism in Induction Head
Shuo Wang, Issei Sato
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor Aamodt
Tractable Transformers for Flexible Conditional Generation
Anji Liu, Xuejie Liu, Dayuan Zhao et al.
Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
Weilin Cai, Juyong Jiang, Le Qin et al.
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
Qin Guo, Ailing Zeng, Dongxu Yue et al.
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
Bo Xue, Dake Bu, Ji Cheng et al.
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
Ming Li, Yukang Cheng, Lu Bai et al.
Dimension-Free Adaptive Subgradient Methods with Frequent Directions
Sifan Yang, Yuanyu Wan, Peijia Li et al.
Teaching Models to Understand (but not Generate) High-risk Data
Ryan Yixiang Wang, Matthew Finlayson, Luca Soldaini et al.
QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
Jumman Hossain, Nirmalya Roy
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis
Partial Perspectives: How LLMs Handle Logically Inconsistent Knowledge in Reasoning Tasks
Zichao Li, Ines Arous, Jackie CK Cheung
Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
Liang Huang, Benedict Lee, Daniel Ng et al.
Position: Machine Learning Models Have a Supply Chain Problem
Sarah Meiklejohn, Hayden Blauzvern, Mihai Maruseac et al.
Improving Flow Matching by Aligning Flow Divergence
Yuhao Huang, Taos Transue, Shih-Hsin Wang et al.
Position: Humanity Faces Existential Risk from Gradual Disempowerment
Jan Kulveit, Raymond Douglas, Nora Ammann et al.
Pfeife: Automatic Pipeline Parallelism for PyTorch
Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds
Xiuheng Wang, Ricardo Borsoi, Cédric Richard et al.
On Mechanistic Circuits for Extractive Question-Answering
Samyadeep Basu, Vlad I Morariu, Ryan A. Rossi et al.
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
Yanzhou Pan, Jiayi Chen, Jiamin Chen et al.
Position: Generative AI Regulation Can Learn from Social Media Regulation
Ruth Elisabeth Appel
Position: Challenges and Future Directions of Data-Centric AI Alignment
Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du et al.
REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories
Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Interactive AI Agents
Xuhui Zhou, Hyunwoo Kim, Faeze Brahman et al.
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha et al.
e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren et al.
Test-time Adapted Reinforcement Learning with Action Entropy Regularization
Shoukai Xu, ZihaoLian, Mingkui Tan et al.
Position: Rethinking Explainable Machine Learning as Applied Statistics
Sebastian Bordt, Eric Raidl, Ulrike Luxburg
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
Yuhua Zhou, Ruifeng Li, Changhai Zhou et al.