Hot Tweets

Hot Papers

Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
Ziyun Zeng, David Junhao Zhang, Wei Li, Mike Zheng Shou
2026-04-08
C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment
Pufan Zeng, Yilun Liu, Mingchen Dai, Mengyao Piao, Chunguang Zhao, Lingqi Miao, Shimin Tao, Weibin Meng, Minggui He, Chenxin Liu, Zhenzhen Qin, Li Zhang, Hongxia Ma, Boxing Chen, Daimeng Wei
2026-04-17
Strategic Response of News Publishers to Generative AI
Hangcheng Zhao, Ron Berman
2026-04-15
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
Qingzhuo Wang, Leilei Wen, Juntao Chen, Kunyu Peng, Ruiyang Qin, Zhihua Wei, Wen Shen
2026-04-10
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotar, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein,
2026-04-13
AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning
Ioannis Tsingalis, Constantine Kotropoulos, Corentin Briat
2026-04-10
SCoRe: Clean Image Generation from Diffusion Models Trained on Noisy Images
Yuta Matsuzaki, Seiichi Uchida, Shumpei Takezaki
2026-04-10
Complex Interpolation of Matrices with an application to Multi-Manifold Learning
Adi Arbel, Stefan Steinerberger, Ronen Talmon
2026-04-15
Towards Better Statistical Understanding of Watermarking LLMs
Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li
2026-04-07
Attribution Bias in Large Language Models
Eliza Berman, Bella Chang, Daniel B. Neill, Emily Black
2026-04-06
Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
Yousra Fettach, Guillaume Bied, Hannu Toivonen, Tijl De Bie
2026-04-09
Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents
Hongju Pae
2026-04-06
ASTRA: Mapping Art-Technology Institutions via Conceptual Axes, Text Embeddings, and Unsupervised Clustering
Joonhyung Bae
2026-04-06
Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
Darian Perez-Adan, Jose P. Gonzalez-Coma, F. Javier Lopez-Martinez, Luis Castedo
2026-04-06
Hierarchical Contrastive Learning for Multimodal Data
Huichao Li, Junhan Yu, Doudou Zhou
2026-04-07
Calibration of a neural network ocean closure for improved mean state and variability
Pavel Perezhogin, Alistair Adcroft, Laure Zanna
2026-04-07
Universality of Gaussian-Mixture Reverse Kernels in Conditional Diffusion
Nafiz Ishtiaque, Syed Arefinul Haque, Kazi Ashraful Alam, Fatima Jahara
2026-04-15
A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing
Lev Razumovskiy, Nikolay Karenin
2026-04-15
Kinetic Interacting Particle Langevin Monte Carlo
Paul Felix Valsecchi Oliva, O. Deniz Akyildiz
2026-04-16
Linear Representations of Hierarchical Concepts in Language Models
Masaki Sakata, Benjamin Heinzerling, Takumi Ito, Sho Yokoi, Kentaro Inui
2026-04-09
DMin: Scalable Training Data Influence Estimation for Diffusion Models
Huawei Lin, Yingjie Lao, Weijie Zhao
2026-04-09
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
Jingbo Liu
2026-04-13
Beyond Pessimism: Offline Learning in KL-regularized Games
Yuheng Zhang, Claire Chen, Nan Jiang
2026-04-08
Searching Meta Reasoning Skeleton to Guide LLM Reasoning
Ziying Zhang, Yaqing Wang, Quanming Yao
2026-04-16
Robustness of Vision Foundation Models to Common Perturbations
Hongbin Liu, Zhengyuan Jiang, Cheng Hong, Neil Zhenqiang Gong
2026-04-16
JFinTEB: Japanese Financial Text Embedding Benchmark
Masahiro Suzuki, Hiroki Sakaji
2026-04-17
Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis
Zice Wang, Zhenyu Zhang
2026-04-06
Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels
Maria Pilligua, David Serrano-Lozano, Pai Peng, Ramon Baldrich, Michael S. Brown, Javier Vazquez-Corral
2026-04-09
Diffusion Language Models Know the Answer Before Decoding
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Soroush Vosoughi, Shiwei Liu
2026-04-09
Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models
Yuheng Shi, Xiaohuan Pei, Linfeng Wen, Minjing Dong, Chang Xu
2026-04-08

Fresh Papers

Repurposing 3D Generative Model for Autoregressive Layout Generation
Haoran Feng, Yifan Niu, Zehuan Huang, Yang-Tian Sun, Chunchao Guo, Yuxin Peng, Lu Sheng
2026-04-17
FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation
Dian Shao, Zhengzheng Xu, Peiyang Wang, Like Liu, Yule Wang, Jieqi Shi, Jing Huo
2026-04-17
Differential privacy representation geometry for medical image analysis
Soroosh Tayebi Arasteh, Marziyeh Mohammadi, Sven Nebelung, Daniel Truhn
2026-04-17
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
Ran Tong, Lanruo Wang, Tong Wang, Wei Yan
2026-04-17
VeRVE: Versatile Retrieval for Videos via Unified Embeddings
Shaunak Halbe, Bhagyashree Puranik, Jayakrishnan Unnikrishnan, Kushan Thakkar, Vimal Bhat, Toufiq Parag
2026-04-17
StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression
Xuanyi Liu, Chunan Yu, Deyi Ji, Qi Zhu, Lingyun Sun, Xuanfu Li, Jin Ma, Tianrun Chen, Lanyun Zhu
2026-04-17
Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis
Haonan Zhu, Adrienne Deganutti, Elad Hirsch, Purvanshi Mehta
2026-04-17
When Cultures Meet: Multicultural Text-to-Image Generation
Parth Bhalerao, Mounika Yalamarty, Brian Trinh, Oana Ignat
2026-04-17
Phase transitions in Doi-Onsager, Noisy Transformer, and other multimodal models
Kyunghoo Mun, Matthew Rosenzweig
2026-04-17
Benchmarking Optimizers for MLPs in Tabular Deep Learning
Yury Gorishniy, Ivan Rubachev, Dmitrii Feoktistov, Artem Babenko
2026-04-17
ASMR-Bench: Auditing for Sabotage in ML Research
Eric Gan, Aryan Bhatt, Buck Shlegeris, Julian Stastny, Vivek Hebbar
2026-04-17
Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review
Qian Ruan, Iryna Gurevych
2026-04-17
Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan
Shivarth Rai, Tejeswar Pokuri
2026-04-17
Geometric regularization of autoencoders via observed stochastic dynamics
Sean Hill, Felix X. -F. Ye
2026-04-17
Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing
Thomas Bayer, Alexander Lohr, Sarah Weiß, Bernd Michelberger, Wolfram Höpken
2026-04-17
Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design
Shriram Chennakesavalu, Kirill Shmilovich, Hayley Weir, Colin Grambow, John Bradshaw, Patricia Suriana, Chen Cheng, Kangway Chuang
2026-04-17
Learning to Reason with Insight for Informal Theorem Proving
Yunhe Li, Hao Shi, Bowen Deng, Wei Wang, Mengzhe Ruan, Hanxu Hou, Zhongxiang Dai, Siyang Gao, Chao Wang, Shuang Qiu, Linqi Song
2026-04-17
No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus
Hitesh Mehta, Arjit Saxena, Garima Chhikara, Rohit Kumar
2026-04-17
VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
Xiangbo Gao, Sicong Jiang, Bangya Liu, Xinghao Chen, Minglai Yang, Siyuan Yang, Mingyang Wu, Jiongze Yu, Qi Zheng, Haozhi Wang, Jiayi Zhang, Jared Yang, Jie Yang, Zihan Wang, Qing Yin, Zhengzhong Tu
2026-04-17
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text
Van-Truong Le
2026-04-17
CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language
Roy Uziel, Omer Belhasin, Itay Levy, Akhiad Bercovich, Ran El-Yaniv, Ran Zilberstein, Michael Elad
2026-04-17
Hero-Mamba: Mamba-based Dual Domain Learning for Underwater Image Enhancement
Tejeswar Pokuri, Shivarth Rai
2026-04-17
EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
Xiaoshuai Song, Haofei Chang, Guanting Dong, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou
2026-04-17
FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale
Aswathi Mundayatt, Jaya Sreevalsan-Nair
2026-04-17
Information Router for Mitigating Modality Dominance in Vision-Language Models
Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib
2026-04-17
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
Zelin Tan, Hejia Geng, Xiaohang Yu, Mulei Zhang, Guancheng Wan, Yifan Zhou, Qiang He, Xiangyuan Xue, Heng Zhou, Yutao Fan, Zhongzhi Li, Zaibin Zhang, Guibin Zhang, Chen Zhang, Zhenfei Yin, Philip Torr, Lei Bai
2026-04-17
SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation
Deshan Sumanathilaka, Nicholas Micallef, Julian Hough, Saman Jayasinghe
2026-04-17
Beyond Distribution Sharpening: The Importance of Task Rewards
Sarthak Mittal, Leo Gagnon, Guillaume Lajoie
2026-04-17
TokenLight: Precise Lighting Control in Images using Attribute Tokens
Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren, Jingyuan Liu, He Zhang, Yiqun Mei, Julie Dorsey, Zhixin Shu
2026-04-17
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu
2026-04-17

reinforcement learning

A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing
Lev Razumovskiy, Nikolay Karenin
2026-04-15
ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
Haoxin Lin, Junjie Zhou, Daheng Xu, Yang Yu
2026-04-06
Stratifying Reinforcement Learning with Signal Temporal Logic
Justin Curry, Alberto Speranzon
2026-04-06
Vero: An Open RL Recipe for General Visual Reasoning
Gabriel Sarch, Linrong Cai, Qunzhong Wang, Haoyang Wu, Danqi Chen, Zhuang Liu
2026-04-06
Analyzing Symbolic Properties for DRL Agents in Systems and Networking
Mohammad Zangooei, Jannis Weil, Amr Rizk, Mina Tahmasbi Arashloo, Raouf Boutaba
2026-04-06
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
Hanbing Liu, Lang Cao, Yuanyi Ren, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang
2026-04-06
QED-Nano: Teaching a Tiny Model to Prove Hard Theorems
LM-Provers, Yuxiao Qu, Amrith Setlur, Jasper Dekoninck, Edward Beeching, Jia Li, Ian Wu, Lewis Tunstall, Aviral Kumar
2026-04-06
Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation
Hengrui Gu, Xiaotian Han, Yujing Bian, Kaixiong Zhou
2026-04-06
A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
Mengqi Li, Lei Zhao, Anthony Man-Cho So, Ruoyu Sun, Xiao Li
2026-04-06
Data Attribution in Adaptive Learning
Amit Kiran Rege
2026-04-06
Synthetic Sandbox for Training Machine Learning Engineering Agents
Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan
2026-04-06
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Dogan Urgun, Gokhan Gungor
2026-04-06
Selecting Decision-Relevant Concepts in Reinforcement Learning
Naveen Raman, Stephanie Milani, Fei Fang
2026-04-06
An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
Xingtu Liu
2026-04-06
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama, Ricardo Cunha, Daniel Fuertes, Carlos R. del-Blanco, Hugo L. Fernandes
2026-04-06
CLEAR: Unlocking Generative Potential for Degraded Image Understanding in Unified Multimodal Models
Xiangzhao Hao, Zefeng Zhang, Zhenyu Zhang, Linhao Yu, Yao Chen, Yiqian Zhang, Haiyun Guo, Shuohuan Wang, Yu Sun
2026-04-06
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan, Joykirat Singh, Runchu Tian, Elias Stengel-Eskin, Mohit Bansal
2026-04-06
Discovering Failure Modes in Vision-Language Models using RL
Kanishk Jain, Qian Yang, Shravan Nayak, Parisa Kordjamshidi, Nishanth Anand, Aishwarya Agrawal
2026-04-06
Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions
Daniel Bloch
2026-04-06
Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning
Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou, Nuo Chen, Dawn Song, Bingsheng He
2026-04-06
FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution
Yidi Liu, Zihao Fan, Jie Huang, Jie Xiao, Dong Li, Wenlong Zhang, Lei Bai, Xueyang Fu, Zheng-Jun Zha
2026-04-06
Paper Espresso: From Paper Overload to Research Insight
Mingzhe Du, Luu Anh Tuan, Dong Huang, See-kiong Ng
2026-04-06
FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control
Donghu Kim, Youngdo Lee, Minho Park, Kinam Kim, I Made Aswin Nahendra, Takuma Seno, Sehee Min, Daniel Palenicek, Florian Vogt, Danica Kragic, Jan Peters, Jaegul Choo, Hojoon Lee
2026-04-06
TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization
Shichao Ma, Zhiyuan Ma, Ming Yang, Xiaofan Li, Xing Wu, Jintao Du, Yu Cheng, Weiqiang Wang, Qiliang Liu, Zhengyang Zhou, Yang Wang
2026-04-06
Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
Zhexi Lian, Haoran Wang, Xuerun Yan, Weimeng Lin, Xianhong Zhang, Yongyu Chen, Jia Hu
2026-04-06
RAPTOR: A Foundation Policy for Quadrotor Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
2026-04-06
Memory Intelligence Agent
Jingyang Qiao, Weicheng Meng, Yu Cheng, Zhihang Lin, Zhizhong Zhang, Xin Tan, Jingyu Gong, Kun Shao, Yuan Xie
2026-04-06
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
Jia Hu, Zhexi Lian, Xuerun Yan, Ruiang Bi, Dou Shen, Yu Ruan, Chunlong Xia, Haoran Wang
2026-04-06
One Model for All: Multi-Objective Controllable Language Models
Qiang He, Yucheng Yang, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy, Setareh Maghsudi
2026-04-06
Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
Darian Perez-Adan, Jose P. Gonzalez-Coma, F. Javier Lopez-Martinez, Luis Castedo
2026-04-06

language

AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection
Zijie Zhao, Chenyuan Yang, Weidong Wang, Yihan Yang, Ziqi Zhang, Lingming Zhang
2026-04-13
AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning
Ioannis Tsingalis, Constantine Kotropoulos, Corentin Briat
2026-04-10
HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection
Vadim Vashkelis, Natalia Trukhina
2026-04-06
Attribution Bias in Large Language Models
Eliza Berman, Bella Chang, Daniel B. Neill, Emily Black
2026-04-06
Cards Against LLMs: Benchmarking Humor Alignment in Large Language Models
Yousra Fettach, Guillaume Bied, Hannu Toivonen, Tijl De Bie
2026-04-09
Linear Representations of Hierarchical Concepts in Language Models
Masaki Sakata, Benjamin Heinzerling, Takumi Ito, Sho Yokoi, Kentaro Inui
2026-04-09
Searching Meta Reasoning Skeleton to Guide LLM Reasoning
Ziying Zhang, Yaqing Wang, Quanming Yao
2026-04-16
JFinTEB: Japanese Financial Text Embedding Benchmark
Masahiro Suzuki, Hiroki Sakaji
2026-04-17
Framing Effects in Independent-Agent Large Language Models: A Cross-Family Behavioral Analysis
Zice Wang, Zhenyu Zhang
2026-04-06
Diffusion Language Models Know the Answer Before Decoding
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Soroush Vosoughi, Shiwei Liu
2026-04-09
Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection
Yang Li, Qiang Sheng, Zhengjia Wang, Yehan Yang, Danding Wang, Juan Cao
2026-04-06
Rethinking Model Efficiency: Multi-Agent Inference with Large Models
Sixun Dong, Juhua Hu, Steven Li, Wei Wen, Qi Qian
2026-04-06
TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
Weian Mao, Xi Lin, Wei Huang, Yuxin Xie, Tianfu Fu, Bohan Zhuang, Song Han, Yukang Chen
2026-04-06
Vero: An Open RL Recipe for General Visual Reasoning
Gabriel Sarch, Linrong Cai, Qunzhong Wang, Haoyang Wu, Danqi Chen, Zhuang Liu
2026-04-06
Towards Better Statistical Understanding of Watermarking LLMs
Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li
2026-04-07
ClickAIXR: On-Device Multimodal Vision-Language Interaction with Real-World Objects in Extended Reality
Dawar Khan, Alexandre Kouyoumdjian, Xinyu Liu, Omar Mena, Dominik Engel, Ivan Viola
2026-04-06
Are Latent Reasoning Models Easily Interpretable?
Connor Dilgren, Sarah Wiegreffe
2026-04-06
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
Hanbing Liu, Lang Cao, Yuanyi Ren, Mengyu Zhou, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang
2026-04-06
Agentic Federated Learning: The Future of Distributed Training Orchestration
Rafael O. Jarczewski, Gabriel U. Talasso, Leandro Villas, Allan M. de Souza
2026-04-06
Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation
Hengrui Gu, Xiaotian Han, Yujing Bian, Kaixiong Zhou
2026-04-06
A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
Mengqi Li, Lei Zhao, Anthony Man-Cho So, Ruoyu Sun, Xiao Li
2026-04-06
Data Attribution in Adaptive Learning
Amit Kiran Rege
2026-04-06
MLorc: Momentum Low-rank Compression for Memory Efficient Large Language Model Adaptation
Wei Shen, Zhang Yaxiang, Minhui Huang, Mengfan Xu, Jiawei Zhang, Cong Shen
2026-04-06
HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes
Mauricio Soroco, Francesco Pittaluga, Zaid Tasneem, Abhishek Aich, Bingbing Zhuang, Wuyang Chen, Manmohan Chandraker, Ziyu Jiang
2026-04-06
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Zonglin Yang, Lidong Bing
2026-04-06
Synthetic Sandbox for Training Machine Learning Engineering Agents
Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan
2026-04-06
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah, Jerry Huang, Aditi Raghunathan, Seunghoon Hong, Nicholas M. Boffi, Jinwoo Kim
2026-04-06
Optimizing LLM Prompt Engineering with DSPy Based Declarative Learning
Shiek Ruksana, Sailesh Kiran Kurra, Thipparthi Sanjay Baradwaj
2026-04-06
The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies
Jiaxu Zhou, Jen-tse Huang, Xuhui Zhou, Man Ho Lam, Xintao Wang, Hao Zhu, Wenxuan Wang, Maarten Sap
2026-04-06
C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment
Pufan Zeng, Yilun Liu, Mingchen Dai, Mengyao Piao, Chunguang Zhao, Lingqi Miao, Shimin Tao, Weibin Meng, Minggui He, Chenxin Liu, Zhenzhen Qin, Li Zhang, Hongxia Ma, Boxing Chen, Daimeng Wei
2026-04-17