conftrace_

Papers

Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention ACL 2025 Style Over Substance: Evaluation Biases for Large Language Models COLING 2025 The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025 Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025 Demystifying Multilingual Reasoning in Process Reward Modeling EMNLP 2025 Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language ACL 2025 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions EACL 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024 A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models COLING 2024 Importance-Aware Data Augmentation for Document-Level Neural Machine Translation EACL 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Re-Evaluating Evaluation for Multilingual Summarization EMNLP 2024 TransAgents: Build Your Translation Company with Language Agents EMNLP 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation EMNLP 2024 Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation EACL 2023 Universal Conditional Masked Language Pre-training for Neural Machine Translation ACL 2022 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021 NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation EMNLP 2021 Evaluating the Utility of Hand-crafted Features in Sequence Labelling EMNLP 2018