The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
https://arxiv.org/abs/2409.14195
The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
https://arxiv.org/abs/2409.14195
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
https://arxiv.org/abs/2406.18294
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
https://arxiv.org/abs/2406.18294
🏷️ #MLLM
👥 Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song...
📅 2024-09-09
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
https://arxiv.org/abs/2506.08375
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
https://arxiv.org/abs/2506.08375
Think on your Feet: Adaptive Thinking via Reinforcement Learning for Social Agents
https://arxiv.org/abs/2505.02156
Think on your Feet: Adaptive Thinking via Reinforcement Learning for Social Agents
https://arxiv.org/abs/2505.02156
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
https://arxiv.org/abs/2412.04905
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
https://arxiv.org/abs/2412.04905
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
https://arxiv.org/abs/2406.17419
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
https://arxiv.org/abs/2406.17419
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
https://arxiv.org/abs/2409.05840
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
https://arxiv.org/abs/2409.05840
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
https://arxiv.org/abs/2406.17419
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
https://arxiv.org/abs/2406.17419
Read the full article here: doi.org/10.1177/0146...
Read the full article here: doi.org/10.1177/0146...