Noticias
EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
LLMs have made impressive strides in generating code for various programming tasks. However, they mostly...
EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
arXiv:2511.19935v1 Announce Type: cross Abstract: The rapid advancement of large language models (LLMs) has increased...
Efficient Trie-based Biasing using K-step Prediction for Rare Word Recognition
arXiv:2509.09196v1 Announce Type: new Abstract: Contextual biasing improves rare word recognition of ASR models by...
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
arXiv:2501.18265v2 Announce Type: replace-cross Abstract: Evaluating the truthfulness of online content is critical for combating...
Effective KV Compression with TurboQuant
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for...
Effective KV Compression with TurboQuant
TurboQuant has recently been launched by Google as a novel algorithmic suite and library for...
EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
arXiv:2508.13735v1 Announce Type: new Abstract: With the widespread application of electroencephalography (EEG) in neuroscience and...
Echoes of BERT: Do Modern Language Models Rediscover the Classical NLP Pipeline?
arXiv:2506.02132v4 Announce Type: replace Abstract: Large transformer-based language models dominate modern NLP, yet our understanding...
Echoes of Automation: The Increasing Use of LLMs in Newsmaking
arXiv:2508.06445v2 Announce Type: replace Abstract: The rapid rise of Generative AI (GenAI), particularly LLMs, poses...
EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization
arXiv:2602.05165v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for...
DySK-Attn: A Framework for Efficient, Real-Time Knowledge Updating in Large Language Models via Dynamic Sparse Knowledge Attention
arXiv:2508.07185v2 Announce Type: replace Abstract: Large Language Models (LLMs) suffer from a critical limitation: their...
