Methodology of Adapting Large English Language Models for Specific Cultural Contexts (2024 · 2 citations)
Leading LLMs are trained mostly on English, so they lack local knowledge and can clash with local values when used in another culture.
HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference (2026 · 1 citation)
Storing key-value (KV) pairs during autoregressive decoding avoids recomputation, but the cache grows with sequence length and can outweigh the model's own memory in long-context serving.
Test of Time: Rethinking Temporal Signal of Benchmark Contamination (2026 · 1 citation)
Researchers often treat a drop in LLM accuracy on questions published after a model's training cutoff as evidence that older questions leaked into its training data.
Mixture of Heterogeneous Grouped Experts for Language Modeling (2026)
Standard Mixture-of-Experts (MoE) language models use experts of one fixed size, so every token receives the same compute regardless of how hard it is to predict.
Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation (2026)
Prompt-conditioned methods for multi-objective LLM alignment, such as RiC, CPO, and SteerLM, have a mismatch between training and inference.

Co-authors here

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026