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Found 20 papers, 12 papers with code
Iterative GNN-based Decoder for Question Generation
However, (1) they ignore the rich structure information that is hidden in the previously generated text.
LongSafetyBench: Long-Context LLMs Struggle with Safety Issues
With the development of large language models (LLMs), the sequence length of these models continues to increase, drawing significant attention to long-context language models.
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
Large Language Models (LLMs) acquire extensive knowledge and remarkable abilities from extensive text corpora, making them powerful tools for various applications.
IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities
Current methods of building LLMs with voice interaction capabilities rely heavily on explicit text autoregressive generation before or during speech response generation to maintain content quality, which unfortunately brings computational overhead and increases latency in multi-turn interactions.
SpeechAlign: Aligning Speech Generation to Human Preferences
However, the integration of human feedback to align speech outputs to human preferences is often neglected.
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
Large language models optimized with techniques like RLHF have achieved good alignment in being helpful and harmless.
SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation
It comprises an autoregressive model based on LLM for semantic information modeling and a non-autoregressive model employing flow matching for perceptual information modeling.
SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems
In this paper, we propose SpeechAgents, a multi-modal LLM based multi-agent system designed for simulating human communication.
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Therefore, we propose SpeechTokenizer, a unified speech tokenizer for speech large language models.
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search
We use prompts that contains entity category information to construct label prototypes, which enables our model to fine-tune with only the support set.
DUB: Discrete Unit Back-translation for Speech Translation
The key point is to bridge the modality gap between speech and text so that useful MT techniques can be applied to ST.
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
Multi-modal large language models are regarded as a crucial step towards Artificial General Intelligence (AGI) and have garnered significant interest with the emergence of ChatGPT.
A Relation-Oriented Clustering Method for Open Relation Extraction
The clustering-based unsupervised relation discovery method has gradually become one of the important methods of open relation extraction (OpenRE).
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Relation Extraction
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SENT: Sentence-level Distant Relation Extraction via Negative Training
In this work, we propose the use of negative training (NT), in which a model is trained using complementary labels regarding that ``the instance does not belong to these complementary labels".
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
To guarantee user acceptability, all the text transformations are linguistically based, and we provide a human evaluation for each one.
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning
Automatic essay scoring (AES) is the task of assigning grades to essays without human interference.
