Large Language Models

SciClaims: An End-to-End Generative System for Biomedical Claim Analysis EMNLP 2025 SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing IJCNLP 2025 sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models ICML 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View ACL 2025 SCULPT: Systematic Tuning of Long Prompts ACL 2025 SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models EMNLP 2025 sDPO: Don’t Use Your Data All at Once COLING 2025 SDPO: Segment-Level Direct Preference Optimization for Social Agents ACL 2025 SEA-LION: Southeast Asian Languages in One Network IJCNLP 2025 SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings ACL 2025 SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models EMNLP 2025 Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025 SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models AAAI 2025 SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities ACL 2025 SecV: LLM-based Secure Verilog Generation with Clue-Guided Exploration on Hardware-CWE Knowledge Graph IJCAI 2025 SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding COLING 2025 SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science ACL 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding CVPR 2025 See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation CoRL 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models ACL 2025 SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting NAACL 2025