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Foundation Models

4,845 papers

Papers per year

Papers

Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models NAACL 2024
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts ACL 2024
LeGen: Complex Information Extraction from Legal sentences using Generative Models EMNLP 2024
MedCoT: Medical Chain of Thought via Hierarchical Expert EMNLP 2024
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text SEMEVAL 2024
Molecule Design by Latent Prompt Transformer NIPS 2024
A General Protocol to Probe Large Vision Models for 3D Physical Understanding NIPS 2024
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NIPS 2024
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data EMNLP 2024
Enhancing Consumer Health Question Reformulation: Chain-of-Thought Prompting Integrating Focus, Type, and User Knowledge Level COLING 2024
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models ACL 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024
Proofread: Fixes All Errors with One Tap ACL 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models NIPS 2024
ATLAS: Improving Lay Summarisation with Attribute-based Control ACL 2024
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models EMNLP 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NIPS 2024
In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models ACL 2024
Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations IJCAI 2024