LZ
Luke Zettlemoyer
cs.CLcs.AIcs.LGcs.CVstat.MLcs.IRcs.ROcs.SEeess.AScs.DC
On Valency
published · living versionsW_tse9bvhc·v1 · currentpublished
Preprints & journals
274 papers in the corpus · 2011–2026Train An Imaginative Agent2610.26845v1 · Jiaxin Ge, Junyi Zhang, Tianning Chai et al.2026 · 0 citationsarXivon Valency
Muse Glimmer 30B: An On-Device Agentic Model2610.24628v3 · Arash Ebrahim Abtahizadeh, Muna Aghamelu, Adil Ahmed et al.2026 · 0 citationsarXiv
World of SWECraft: Agent Collaboration at Scale via Simulated Software Worlds2610.24061v2 · Shannon Zejiang Shen, Yapei Chang, Qiyao Liang et al.2026 · 0 citationsarXiv
IsoVRBench: Video Reward Modeling Without Human Feedback2610.17234v1 · Shuyue Stella Li, Jacqueline He, Jiahui Chen et al.2026 · 0 citationsarXiv
A Self-Defining Operator for Distributed Applications2610.14547v2 · Shihang Li, Thomas Anderson, Ratul Mahajan et al.2026 · 0 citationsarXiv
Retrofitting language models to operate over bytes.42844478 · Minixhofer, Benjamin, Murray, Tyler, Limisiewicz, Tomasz et al.2026 · 1 citationNature. 2026;658(8137):915-922
Context Language Models2609.37725v1 · Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin et al.2026 · 0 citationsarXiv
ExploreNet: Learning Where to Explore in Diffusion GRPO2609.38329v1 · Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov et al.2026 · 0 citationsarXiv
Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts2609.35641v1 · Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov et al.2026 · 0 citationsarXiv
When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis2609.15309v1 · Kaiyuan Liu, Qiuyang Mang, Bo Peng et al.2026 · 0 citationsarXiv
Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models2609.12303v1 · Kalyani Marathe, Artidoro Pagnoni, Tomasz Limisiewicz et al.2026 · 0 citationsarXiv
Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data2609.11917v2 · Atindra Jha, Margaret Li, Jure Leskovec et al.2026 · 0 citationsarXiv
Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall2609.01532v2 · Jacqueline He, Howard Yen, Shuyue Stella Li et al.2026 · 0 citationsarXiv
Prefix Sliding for efficient test-time scaling2608.26070v1 · Niklas Muennighoff, Zhengyang Wang, Zeyi Chen et al.2026 · 0 citationsarXiv
SPADE: Self-Play in Adaptive Synthetic Executable Environments2608.19197v3 · Bo Liu, Simon Yu, Yiding Jiang et al.2026 · 0 citationsarXiv
Vision-Language Grounding as Bidirectional Concept Correspondence2608.07886v1 · Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer et al.2026 · 0 citationsarXiv
Spokes: Optimizing for Diverse Pretraining Data Selection2606.15216v1 · Clarence Lee, Yejin Choi, Luke Zettlemoyer et al.2026 · 0 citationsarXiv
M*: A Modular, Extensible, Serving System for Multimodal Models2606.12688v2 · Atindra Jha, Naomi Sagan, Keisuke Kamahori et al.2026 · 0 citationsarXiv
Scaling Participation in Modular AI Systems2606.07812v2 · Shangbin Feng, Yike Wang, Weijia Shi et al.2026 · 0 citationsarXiv
JobBench: Aligning Agent Work With Human Will2605.26329v1 · Yuetai Li, Yichen Feng, Zhangchen Xu et al.2026 · 0 citationsarXiv
Slicing and Dicing: Configuring Optimal Mixtures of Experts2605.11689v1 · Margaret Li, Sneha Kudugunta, Danielle Rothermel et al.2026 · 0 citationsarXiv
Fast Byte Latent Transformer2605.08044v1 · Julie Kallini, Artidoro Pagnoni, Tomasz Limisiewicz et al.2026 · 0 citationsarXiv
Compute Optimal Tokenization2605.01188v2 · Tomasz Limisiewicz, Artidoro Pagnoni, Srini Iyer et al.2026 · 0 citationsarXiv
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation2604.24763v2 · Zhiheng Liu, Weiming Ren, Xiaoke Huang et al.2026 · 0 citationsarXiv
Micro Language Models Enable Instant Responses2604.19642v1 · Wen Cheng, Tuochao Chen, Karim Helwani et al.2026 · 0 citationsarXiv
Beyond Language Modeling: An Exploration of Multimodal Pretraining2603.03276v1 · Shengbang Tong, David Fan, John Nguyen et al.2026 · 0 citationsarXiv
Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons2603.02115v2 · Anthony Liang, Yigit Korkmaz, Jiahui Zhang et al.2026 · 0 citationsRSS 2026
Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model2602.07120v3 · Jacqueline He, Jonathan Hayase, Wen-tau Yih et al.2026 · 0 citationsarXiv
Synthesizing scientific literature with retrieval-augmented language models.41639446 · Asai, Akari, He, Jacqueline, Shao, Rulin et al.2026 · 34 citationsNature. 2026;650(8103):857-863
MoCo: A One-Stop Shop for Model Collaboration Research2601.21257v3 · Shangbin Feng, Yuyang Bai, Ziyuan Yang et al.2026 · 0 citationsarXiv
Improving MoE Compute Efficiency by Composing Weight and Data Sparsity2601.15370v1 · Maciej Kilian, Oleg Mkrtchyan, Luke Zettlemoyer et al.2026 · 0 citationsarXiv
Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths2601.06463v1 · Xuezhe Ma, Shicheng Wen, Linghao Jin et al.2026 · 0 citationsarXiv
Unified Text-Image Generation with Weakness-Targeted Post-Training2601.04339v3 · Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han et al.2026 · 0 citationsarXiv
GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation2512.16853v1 · Amita Kamath, Kai-Wei Chang, Ranjay Krishna et al.2025 · 0 citationsarXiv
Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image2512.16899v3 · Yushi Hu, Reyhane Askari-Hemmat, Melissa Hall et al.2025 · 0 citationsarXiv
Bolmo: Byteifying the Next Generation of Language Models2512.15586v2 · Benjamin Minixhofer, Tyler Murray, Tomasz Limisiewicz et al.2025 · 0 citationsarXiv
Olmo 32512.13961v2 · Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl et al.2025 · 5 citationsarXiv
TV2TV: A Unified Framework for Interleaved Language and Video Generation2512.05103v2 · Xiaochuang Han, Youssef Emad, Melissa Hall et al.2025 · 0 citationsarXiv
Self-Improving VLM Judges Without Human Annotations2512.05145v1 · Inna Wanyin Lin, Yushi Hu, Shuyue Stella Li et al.2025 · 0 citationsarXiv
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research2511.19399v3 · Rulin Shao, Akari Asai, Shannon Zejiang Shen et al.2025 · 0 citationsarXiv
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations2510.17733v1 · Tong Chen, Akari Asai, Luke Zettlemoyer et al.2025 · 0 citationsarXiv
Continual Learning via Sparse Memory Finetuning2510.15103v1 · Jessy Lin, Luke Zettlemoyer, Gargi Ghosh et al.2025 · 0 citationsarXiv
Latent Speech-Text Transformer2510.06195v2 · Yen-Ju Lu, Yashesh Gaur, Wei Zhou et al.2025 · 0 citationsarXiv
OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows2510.03506v3 · John Nguyen, Marton Havasi, Tariq Berrada et al.2025 · 0 citationsarXiv
Reconstruction Alignment Improves Unified Multimodal Models2509.07295v4 · Ji Xie, Trevor Darrell, Luke Zettlemoyer et al.2025 · 0 citationsarXiv
Meta CLIP 2: A Worldwide Scaling Recipe2507.22062v3 · Yung-Sung Chuang, Yang Li, Dong Wang et al.2025 · 7 citationsarXiv
FlexOlmo: Open Language Models for Flexible Data Use2507.07024v4 · Weijia Shi, Akshita Bhagia, Kevin Farhat et al.2025 · 1 citationarXiv
Spurious Rewards: Rethinking Training Signals in RLVR2506.10947v2 · Rulin Shao, Shuyue Stella Li, Rui Xin et al.2025 · 1 citationarXiv
Precise Information Control in Long-Form Text Generation2506.06589v2 · Jacqueline He, Howard Yen, Margaret Li et al.2025 · 0 citationsarXiv
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models2506.04689v3 · Thao Nguyen, Yang Li, Olga Golovneva et al.2025 · 0 citationsarXiv
Career total: 474 works. 274 are in this corpus.Showing the 50 most recent.
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