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Papers
KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
ICML 2025
Language Models as Implicit Tree Search
ICML 2025
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
ICLR 2025
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
EMNLP 2025
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
AAAI 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
EMNLP 2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
ACL 2025
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
EMNLP 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning
ACL 2025
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
AAAI 2025
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search
NAACL 2025
LLM2: Let Large Language Models Harness System 2 Reasoning
NAACL 2025
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
NAACL 2025
LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMs
NAACL 2025
LLMs cannot spot math errors, even when allowed to peek into the solution
EMNLP 2025
LLM The Genius Paradox: A Linguistic and Math Expert’s Struggle with Simple Word-based Counting Problems
NAACL 2025
Local Prompt Optimization
NAACL 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning
ACL 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition
EMNLP 2025
LSRL: Process-Supervised GRPO on Latent Recurrent States Improves Mathematical Reasoning
EMNLP 2025
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
ACL 2025
MARGE: Improving Math Reasoning with Guided Exploration
ICML 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
ACL 2025