MemSyco-Bench is a new benchmark with five tasks to assess memory-induced sycophancy in LLM agent systems.
Deepseek-v4: Towards highly efficient million-token context intelligence
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KrishokChat is a citation-verified Bengali agricultural instruction dataset with 145,500 QA pairs from 290 knowledge nodes and a real-world 1,001-query Farmer Benchmark.
DOPD is an advantage-aware dual distillation method that dynamically assigns token supervision from either privileged teacher or student to transfer capability while mitigating non-replicable information asymmetry in on-policy distillation.
DRIFT is an online self-evolution policy optimization framework using Difficulty Routing, Rhythm Gating, success buffers, and two-stage curriculum learning that reports new SOTA results on five reasoning benchmarks.
HyperDFlash improves speculative decoding for hyper-connection LLMs via pre-collapse residual conditioning and a lightweight gated reducer from the target hc_head, outperforming MTP and DFlash in draft acceptance and speedup.
QPipe deploys specialized LLM agents for parsing, formulation, code generation, review, execution and verification to produce quantum applications from 20 natural-language test-optimization requirements, reporting 100% compilation and 96.7% execution success with solutions that beat a genetic-algori
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DOPD: Dual On-policy Distillation
DOPD is an advantage-aware dual distillation method that dynamically assigns token supervision from either privileged teacher or student to transfer capability while mitigating non-replicable information asymmetry in on-policy distillation.