1 citations · 1 across the 9 of their papers we have counts for
7 papers · 1 filter
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +398
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
Baoliang Tian, Yuxuan Si, Jilong Wang +13
Multimodal Large Language Models are primarily trained and evaluated on aligned image-text pairs, which leaves their ability to detect and resolve real-world inconsistencies largel…
A Probabilistic Inference Scaling Theory for LLM Self-Correction
Zhe Yang, Yichang Zhang, Yudong Wang +3
Large Language Models (LLMs) have demonstrated the capability to refine their generated answers through self-correction, enabling continuous performance improvement over multiple r…
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion
Ziyao Xu, Houfeng Wang
To achieve generalized and robust natural-to-formal language conversion (N2F), large language models (LLMs) need to have strong capabilities of decomposition and composition in N2F…
CiteCheck: Towards Accurate Citation Faithfulness Detection
Ziyao Xu, Shaohang Wei, Zhuoheng Han +6
Citation faithfulness detection is critical for enhancing retrieval-augmented generation (RAG) systems, yet large-scale Chinese datasets for this task are scarce. Existing methods…
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
Zhe Yang, Yichang Zhang, Yudong Wang +3
Large Language Models (LLMs) can correct their self-generated responses, but a decline in accuracy after self-correction is also witnessed. To have a deeper understanding of self-c…
SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation
Ziyao Xu, Houfeng Wang
Compositional generalization is an important ability of language models and has many different manifestations. For data-to-text generation, previous research on this ability is lim…