K-EXAONE 2.0 Technical Report
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research...
每天自动聚合 AI 领域最新动态
This technical report presents K-EXAONE 2.0, an open-weight multilingual foundation model developed by LG AI Research...
Learning generalizable robot manipulation policies requires large-scale and diverse demonstration data. Egocentric hu...
As chart images, tabular data, and visualization code play increasingly important roles across diverse domains, cross...
Prompt injection poses significant security risks to LLM agents. Efficient and effective red-teaming is therefore cri...
While instruction-based video editing has advanced rapidly, real-world videos contain tightly coupled audio and visua...
Agent self-evolution updates an agent's persistent state from prior experience and reuses it to solve related tasks m...
GUI agents must remember both useful experience from earlier tasks and unfinished progress in the current interaction...
Long-horizon search agents must make multiple sequential actions (steps) to search, retrieve, verify, and integrate e...
Large language models are increasingly embedded in software engineering workflows as coding agents that can inspect r...
Do Large Language Models (LLMs) possess genuine structural reasoning, or merely rely on surface-level pattern matchin...
Audio-based piano transcription performs well on onset, pitch, and velocity, but the sustain pedal lets sound persist...
We identify a previously overlooked failure mode of ALiBi positional encoding: its linear bias scaling underflows flo...