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Showing 8551–8575 of 14182 papers

TitleStatusHype
BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop—0
Back from the future: bidirectional CTC decoding using future information in speech recognition—0
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity—0
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema—0
Backtracking Improves Generation Safety—0
Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification—0
Backward and Forward Language Modeling for Constrained Sentence Generation—0
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space—0
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT—0
BadRobot: Jailbreaking Embodied LLMs in the Physical World—0
BAGEL: Bootstrapping Agents by Guiding Exploration with Language—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline—0
BaKlaVa -- Budgeted Allocation of KV cache for Long-context Inference—0
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards—0
Balancing Average and Worst-case Accuracy in Multitask Learning—0
Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks—0
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
Balancing Performance and Efficiency: A Multimodal Large Language Model Pruning Method based Image Text Interaction—0
Balancing Speech Understanding and Generation Using Continual Pre-training for Codec-based Speech LLM—0
BAMBI: Developing Baby Language Models for Italian—0
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla—0
BanglaHateBERT: BERT for Abusive Language Detection in Bengali—0
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models—0
Bangla Word Clustering Based on Tri-gram, 4-gram and 5-gram Language Model—0
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