Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications Paper • 2311.13095 • Published Nov 22, 2023
How well do SOTA legal reasoning models support abductive reasoning? Paper • 2304.06912 • Published Apr 14, 2023
Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024) Paper • 2410.05339 • Published Oct 7, 2024
VSEC: Transformer-based Model for Vietnamese Spelling Correction Paper • 2111.00640 • Published Nov 1, 2021
Attentive Deep Neural Networks for Legal Document Retrieval Paper • 2212.13899 • Published Dec 13, 2022
BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning Paper • 2506.06955 • Published Jun 8
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code Paper • 2505.02881 • Published May 5 • 3
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code Paper • 2505.02881 • Published May 5 • 3
Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models Paper • 2503.23714 • Published Mar 31 • 1
Balancing Speed and Stability: The Trade-offs of FP8 vs. BF16 Training in LLMs Paper • 2411.08719 • Published Nov 10, 2024
Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs Paper • 2412.14471 • Published Dec 19, 2024
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search Paper • 2503.04412 • Published Mar 6 • 2
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization Paper • 2502.19261 • Published Feb 26 • 7