Efficient Reasoning Training Does Not Always Harm CoT Faithfulness and Monitorability Paper • 2610.03509 • Published 10 days ago • 17
Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior Paper • 2609.39827 • Published 12 days ago • 13
How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Paper • 2604.13977 • Published Apr 15 • 3
Logic Before Language: Pre-pretraining on Formal Derivations Fosters Skill Acquisition and Compressibility Paper • 2608.03930 • Published Aug 4 • 10
On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain Paper • 2607.01444 • Published Jul 1 • 2
Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models Paper • 2602.08658 • Published Feb 9 • 13
No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding Paper • 2602.03709 • Published Feb 3 • 8
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift Paper • 2601.05882 • Published Jan 9 • 21
Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks Paper • 2601.03448 • Published Jan 6 • 13
Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates Paper • 2512.04844 • Published Dec 4, 2025 • 5
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling Paper • 2510.11602 • Published Oct 13, 2025 • 15
IntrEx: A Dataset for Modeling Engagement in Educational Conversations Paper • 2509.06652 • Published Sep 8, 2025 • 26
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models Paper • 2507.11882 • Published Jul 16, 2025 • 1
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation? Paper • 2508.19827 • Published Aug 27, 2025 • 33
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems Paper • 2508.07407 • Published Aug 10, 2025 • 100
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 43 items • Updated Mar 2 • 738