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Large Language Models

6,405 papers

Papers per year

Papers

Musafir at BLP_2025 Task 2: Generating Python Code from Bangla Prompts using a Multi Model Cascade and Unit Test Validation AACL 2025
JU_NLP at BLP-2025 Task 2: Leveraging Zero-Shot Prompting for Bangla Natural Language to Python Code Generation AACL 2025
Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation AACL 2025
NSU_PiedPiper at BLP-2025 Task 2: A Chain-of-Thought with Iterative Debugging Approach for Code Generation with Bangla Instruction AACL 2025
Slot-VLM: Object-Event Slots for Video-Language Modeling NIPS 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NIPS 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NIPS 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data NIPS 2024
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration NIPS 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NIPS 2024
TaskBench: Benchmarking Large Language Models for Task Automation NIPS 2024
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models NIPS 2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NIPS 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NIPS 2024
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy NIPS 2024
HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models NIPS 2024
Understanding Information Storage and Transfer in Multi-Modal Large Language Models NIPS 2024
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NIPS 2024
In-Context Learning State Vector with Inner and Momentum Optimization NIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NIPS 2024
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs NIPS 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024