MindMerger: Efficient Boosting LLM Reasoning in non-English Languages
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Zixian, Zhu, Wenhao, Cheng, Gong, Li, Lei, Yuan, Fei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
by: Lu, Yinquan, et al.
Published: (2024)
by: Lu, Yinquan, et al.
Published: (2024)
Pipelined Decoder for Efficient Context-Aware Text Generation
by: Huang, Zixian, et al.
Published: (2025)
by: Huang, Zixian, et al.
Published: (2025)
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
by: Hu, Xucong, et al.
Published: (2026)
by: Hu, Xucong, et al.
Published: (2026)
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment
by: Fan, Yuchun, et al.
Published: (2025)
by: Fan, Yuchun, et al.
Published: (2025)
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)
by: Gong, Nanxu, et al.
Published: (2026)
MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents
by: Gong, Ming, et al.
Published: (2025)
by: Gong, Ming, et al.
Published: (2025)
Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking
by: Zhu, Wang Bill, et al.
Published: (2026)
by: Zhu, Wang Bill, et al.
Published: (2026)
GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning
by: Li, Yutong, et al.
Published: (2025)
by: Li, Yutong, et al.
Published: (2025)
PersianMind: A Cross-Lingual Persian-English Large Language Model
by: Rostami, Pedram, et al.
Published: (2024)
by: Rostami, Pedram, et al.
Published: (2024)
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
by: Wu, Wenhao, et al.
Published: (2026)
by: Wu, Wenhao, et al.
Published: (2026)
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning
by: Yu, Yahan, et al.
Published: (2026)
by: Yu, Yahan, et al.
Published: (2026)
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
by: Kim, Hyunwoo, et al.
Published: (2025)
by: Kim, Hyunwoo, et al.
Published: (2025)
Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models
by: Yang, Xiao-Wen, et al.
Published: (2025)
by: Yang, Xiao-Wen, et al.
Published: (2025)
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
by: Xu, Hainiu, et al.
Published: (2024)
by: Xu, Hainiu, et al.
Published: (2024)
Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
RelayLLM: Efficient Reasoning via Collaborative Decoding
by: Huang, Chengsong, et al.
Published: (2026)
by: Huang, Chengsong, et al.
Published: (2026)
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
by: Wang, Kangsheng, et al.
Published: (2024)
by: Wang, Kangsheng, et al.
Published: (2024)
Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
by: Yuan, Wenhao, et al.
Published: (2026)
by: Yuan, Wenhao, et al.
Published: (2026)
Rethinking Human Preference Evaluation of LLM Rationales
by: Li, Ziang, et al.
Published: (2025)
by: Li, Ziang, et al.
Published: (2025)
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
by: Zhu, Wenqiao, et al.
Published: (2025)
by: Zhu, Wenqiao, et al.
Published: (2025)
Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English
by: Zhou, Runtao, et al.
Published: (2025)
by: Zhou, Runtao, et al.
Published: (2025)
LLM2: Let Large Language Models Harness System 2 Reasoning
by: Yang, Cheng, et al.
Published: (2024)
by: Yang, Cheng, et al.
Published: (2024)
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
by: Li, Zhuoqun, et al.
Published: (2024)
by: Li, Zhuoqun, et al.
Published: (2024)
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling
by: Wan, Guangya, et al.
Published: (2024)
by: Wan, Guangya, et al.
Published: (2024)
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
by: Wagner, Eitan, et al.
Published: (2024)
by: Wagner, Eitan, et al.
Published: (2024)
Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning
by: Chen, Xuhang, et al.
Published: (2025)
by: Chen, Xuhang, et al.
Published: (2025)
Translate-and-Revise: Boosting Large Language Models for Constrained Translation
by: Huang, Pengcheng, et al.
Published: (2024)
by: Huang, Pengcheng, et al.
Published: (2024)
Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?
by: Zhong, Chengzhi, et al.
Published: (2024)
by: Zhong, Chengzhi, et al.
Published: (2024)
ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
by: Zheng, Xinzhe, et al.
Published: (2025)
by: Zheng, Xinzhe, et al.
Published: (2025)
LiveMind: Low-latency Large Language Models with Simultaneous Inference
by: Chen, Chuangtao, et al.
Published: (2024)
by: Chen, Chuangtao, et al.
Published: (2024)
Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models
by: Nickel, Christian, et al.
Published: (2026)
by: Nickel, Christian, et al.
Published: (2026)
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models
by: Hong, Xin, et al.
Published: (2024)
by: Hong, Xin, et al.
Published: (2024)
R-Zero: Self-Evolving Reasoning LLM from Zero Data
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, et al.
Published: (2025)
Individual and Combined Effects of English as a Second Language and Typos on LLM Performance
by: Liu, Serena, et al.
Published: (2026)
by: Liu, Serena, et al.
Published: (2026)
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
by: Zhu, Wenhao, et al.
Published: (2025)
by: Zhu, Wenhao, et al.
Published: (2025)
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)
by: Cheng, Xiaoxue, et al.
Published: (2025)
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)
by: Wang, Xinyuan, et al.
Published: (2025)
Similar Items
-
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
by: Lu, Yinquan, et al.
Published: (2024) -
Pipelined Decoder for Efficient Context-Aware Text Generation
by: Huang, Zixian, et al.
Published: (2025) -
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
by: Huang, Xijie, et al.
Published: (2023) -
Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
by: Hu, Xucong, et al.
Published: (2026) -
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment
by: Fan, Yuchun, et al.
Published: (2025)