Key papers

• SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model (2025)
  Loubna Ben Allal et al.
  6.58
• A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction (2026)
  Jessica Sena et al.
  5.01
• Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs (2026)
  Yidu Wu et al.
  5.01
• Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin (2026)
  Zhiheng Qian et al.
  5.01
• BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models (2025)
  Xu Huang et al.
  2.87
• Domain Arithmetic: One-Shot VLA Adaptation under Environmental Shifts (2026)
  Taewook Kang et al.
  2.00
• AGVBench: A Reliability-Oriented Benchmark of Data Augmentation for Vein Recognition (2026)
  Haiyang Li et al.
  2.00
• ACID: Action Consistency via Inverse Dynamics for Planning with World Models (2026)
  Gawon Seo et al.
  2.00
• OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers (2026)
  Donghyun Lee et al.
  2.00
• Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots (2026)
  Ling Xu et al.
  2.00
• PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction (2026)
  Zhuoqun Li et al.
  2.00
• Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning (2026)
  Wenzheng Zeng et al.
  2.00
• Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling (2026)
  Xiang Hu et al.
  2.00
• Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model (2026)
  Xinyin Ma et al.
  2.00
• Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models (2026)
  Hongyu Li et al.
  2.00
• RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures (2026)
  Hanan Gani et al.
  2.00
• From Foundation to Application: Improving VLA Models in Practice (2026)
  Wei Wu et al.
  2.00
• SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models (2026)
  Changti Wu et al.
  2.00
• From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models (2026)
  Zanyi Wang et al.
  2.00
• OPSD-V: On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators (2026)
  Hongyu Liu et al.
  2.00
• EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs (2026)
  Jewon Yeom et al.
  1.94
• dVoting: Fast Voting for dLLMs (2026)
  Sicheng Feng et al.
  1.94
• Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents (2026)
  Wenxuan Ding et al.
  1.94
• Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models (2026)
  Lin Zheng et al.
  1.94
• dMoE: dLLMs with Learnable Block Experts (2026)
  Sicheng Feng et al.
  1.94
• Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds (2026)
  Prateek Biswas et al.
  1.89
• Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context (2026)
  Keivan Alizadeh et al.
  1.78
• SEVerA: Verified Synthesis of Self-Evolving Agents (2026)
  Debangshu Banerjee et al.
  1.78
• Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts (2025)
  Weigao Sun et al.
  1.28
• PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines (2025)
  Reya Vir et al.
  1.28
• Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems (2025)
  Shaokun Zhang et al.
  1.28
• Technical Report: Full-Stack Fine-Tuning for the Q Programming Language (2025)
  Brendan R. Hogan et al.
  1.28
• Fast-dLLM v2: Efficient Block-Diffusion LLM (2025)
  Chengyue Wu et al.
  1.28
• Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling (2025)
  Hao Mark Chen et al.
  1.22
• ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning (2025)
  Jiaan Wang et al.
  1.22
• ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario (2025)
  Lucen Zhong et al.
  1.00
• Train No Evil: Selective Masking for Task-Guided Pre-Training (2020)
  Yuxian Gu et al.
  —
• Improving AMR Parsing with Sequence-to-Sequence Pre-training (2020)
  Dongqin Xu et al.
  —
• Multi-Head Deep Metric Learning Using Global and Local Representations (2021)
  Mohammad K. Ebrahimpour et al.
  —
• DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model (2024)
  DeepSeek-AI et al.
  —
• TinySV: Speaker Verification in TinyML with On-device Learning (2024)
  Massimo Pavan et al.
  —
• TANGO: Training-free Embodied AI Agents for Open-world Tasks (2024)
  Filippo Ziliotto et al.
  —
• PaLM 2 Technical Report (2023)
  Rohan Anil et al.
  —
• Mind2Web: Towards a Generalist Agent for the Web (2023)
  Xiang Deng et al.
  —
• TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT (2023)
  Liangyu Zha et al.
  —
• FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2023)
  Seonghyeon Ye et al.
  —
• Lemur: Harmonizing Natural Language and Code for Language Agents (2023)
  Yiheng Xu et al.
  —
• Advancing LLM Reasoning Generalists with Preference Trees (2024)
  Lifan Yuan et al.
  —
• CodecLM: Aligning Language Models with Tailored Synthetic Data (2024)
  Zifeng Wang et al.
  —
• OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework (2024)
  Sachin Mehta et al.
  —
• Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning (2024)
  Joongwon Kim et al.
  —
• Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients (2024)
  Aashiq Muhamed et al.
  —
• SciCode: A Research Coding Benchmark Curated by Scientists (2024)
  Minyang Tian et al.
  —
• OpenDevin: An Open Platform for AI Software Developers as Generalist Agents (2024)
  Xingyao Wang et al.
  —
• MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions (2024)
  Yekun Chai et al.
  —
• MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering (2024)
  Jun Shern Chan et al.
  —
• LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models (2024)
  Zhengyi Wang et al.
  —
• SlimLM: An Efficient Small Language Model for On-Device Document Assistance (2024)
  Thang M. Pham et al.
  —
• UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages (2024)
  Bethel Melesse Tessema et al.
  —
• AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling (2024)
  Zihan Liu et al.
  —