Key papers

• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning (2025)
  DeepSeek-AI et al.
  21.88
• Arcee's Mergekit: A Toolkit For Merging Large Language Models (2024)
  Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.
  18.99
• Program-as-Weights: A Programming Paradigm for Fuzzy Functions (2026)
  Wentao Zhang et al.
  14.47
• SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks (2026)
  Hongcheng Gao et al.
  12.31
• Scaling Native Multimodal Pre-Training From Scratch (2026)
  Haoyuan Wu et al.
  12.24
• Qwen3 Technical Report (2025)
  An Yang, Anfeng Li, Baosong Yang, et al.
  11.73
• xHC: Expanded Hyper-Connections (2026)
  Xiangdong Zhang et al.
  11.47
• CausalMix: Data Mixture as Causal Inference for Language Model Training (2026)
  Zinan Tang et al.
  10.72
• Scaling Laws for Hypernetwork-Based Knowledge Injection in Large Language Models (2026)
  Nischay Dhankhar et al.
  10.48
• Understanding Reasoning from Pretraining to Post-Training (2026)
  Jingyan Shen et al.
  10.15
• Doremi: Grounding Language Model By Detecting And Recovering From Plan-execution Misalignment (2023)
  Yanjiang Guo, Yen-Jen Wang, Lihan Zha, et al.
  9.92
• Unsupervised Skill Discovery for Agentic Data Analysis (2026)
  Zhisong Qiu et al.
  9.84
• Low-code LLM: Graphical User Interface Over Large Language Models (2023)
  Yuzhe Cai, Shaoguang Mao, Wenshan Wu, et al.
  9.07
• Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training (2026)
  Meng Wang et al.
  8.86
• Guiding LLM Post-training Data Engineering with Model Internals from Sparse Autoencoders (2026)
  Yi Jing et al.
  8.55
• Reasoning Beyond Limits: Advances and Open Problems for LLMs (2025)
  Mohamed Amine Ferrag and Norbert Tihanyi and Merouane Debbah
  7.35
• Co-Reinforcement Learning for Unified Multimodal Understanding and Generation (2025)
  Jingjing Jiang et al.
  6.95
• Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought (2025)
  Zeyu Gan et al.
  6.71
• Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models (2026)
  Changyue Wang et al.
  6.69
• Future-KL Regularized GRPO: Process-Level Credit Assignment from $f$-Divergence Regularization (2026)
  Jiarui Yao et al.
  6.62
• Multi-Agent Causal Discovery Using Large Language Models (2024)
  Hao Duong Le et al.
  6.56
• ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces (2026)
  Jinu Lee et al.
  6.44
• Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES (2026)
  Hunter Heidenreich
  5.87
• Rewarding The Scientific Process: Process-level Reward Modeling For Agentic Data Analysis (2026)
  Zhisong Qiu, Shuofei Qiao, Kewei Xu, et al.
  5.73
• A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization (2026)
  Yangqiaoyu Zhou et al.
  5.44
• Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning (2025)
  Yu Liu et al.
  5.15
• From Monolingual to Multilingual: Evaluating Mamba for ASR in South African Languages (2026)
  Jesujoba O. Alabi et al.
  5.01
• Rethinking Speech-LLM Integration for ASR: Effective Joint Speech-Text Training by Interleaving (2026)
  Ruchao Fan et al.
  5.01
• Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts (2026)
  Valentin J. J. Kreileder et al.
  5.01
• Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing (2026)
  Yiming Liu et al.
  5.01
• HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety (2026)
  Navaneeth Sangameswaran et al.
  5.01
• LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets (2026)
  Shixin Guo et al.
  5.01
• UzWordnet and Generative AI for Learning Uzbek by Game Playing (2026)
  Alessandro Agostini et al.
  5.01
• T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting (2026)
  Gayan K. Kulatilleke et al.
  5.01
• Heterogeneous Element-Aware Cross-Version Differencing of Scientific Documents via Layout-Aware Alignment and Structure-Aware Reasoning (2026)
  Zhen Yina et al.
  5.01
• MamaBench: Benchmarking LLM Robustness in Maternal and Child Health Diagnosis through Counterfactual Clinical Perturbation (2026)
  Thanni Adewuyi et al.
  5.01
• DS@GT ARC at LongEval: Citation Integrity and Factual Grounding in Scientific QA (2026)
  Brandon Michaels et al.
  5.01
• How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts (2026)
  Steven Coyne et al.
  5.01
• In-Place Tokenizer Expansion for Pre-trained LLMs (2026)
  Jimmy T. H. Smith et al.
  5.01
• Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility (2026)
  Fan Li et al.
  5.01
• Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it (2026)
  Federico Boggia
  5.01
• Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA (2026)
  Joan Figuerola Hurtado
  5.01
• Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs (2026)
  Zixuan Ren et al.
  5.01
• MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization (2026)
  Aueaphum Aueawatthanaphisut
  4.95
• Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning (2023)
  Mohamed Aghzal et al.
  4.70
• Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation (2025)
  Xiao Zhang et al.
  4.42
• Structuring the Space of Sociotechnical Alignment (2026)
  Esra D\"onmez et al.
  4.39
• The Wiola Architecture for Efficient Small Language Models (2026)
  Aryuemaan Kumar Chowdhury et al.
  4.39
• Spec-AUF: Accept-Until-Fail Training under Train-Inference Misalignment for Masked Block Drafters (2026)
  Tianjian Yang et al.
  4.39
• Challenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages (2026)
  A. Seza Do\u{g}ru\"oz et al.
  4.39
• Where do LLMs Fall Short in CBT-Guided Affective Reasoning? (2026)
  Vaishnavi Sinha et al.
  4.39
• Enhancement of E-commerce Sponsored Search Relevancy with LLM (2026)
  Md Omar Faruk Rokon et al.
  4.39
• Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs (2026)
  Kareem Elozeiri et al.
  4.39
• Scalable Semantic Steering of Embedding Projections (2026)
  Wei Liu et al.
  4.39
• Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery (2026)
  Pan Li
  4.39
• Unsupervised Features Mining via Activation Geometry (2026)
  Amit LeVi et al.
  4.39
• Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal (2026)
  Joe Watson et al.
  4.39
• Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR (2026)
  Qu Yang et al.
  4.39
• Open-Ended Scenario Reasoning for Specialist Model Adaptation (2026)
  Youcheng Zong et al.
  4.39
• LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering (2026)
  Huan Wu et al.
  4.39