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Found 7 papers, 4 papers with code
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
The FinCausal 2020 shared task aims to detect causality on financial news and identify those parts of the causal sentences related to the underlying cause and effect.
Learning to Generate Better Than Your LLM
In particular, we extend RL algorithms to allow them to interact with a dynamic black-box guide LLM and propose RL with guided feedback (RLGF), a suite of RL algorithms for LLM fine-tuning.
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
Natural language processing methods have several applications in automated auditing, including document or passage classification, information retrieval, and question answering.
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
To help answer this, we first introduce an open-source modular library, RL4LMs (Reinforcement Learning for Language Models), for optimizing language generators with RL.
NLPGym -- A toolkit for evaluating RL agents on Natural Language Processing Tasks
Reinforcement learning (RL) has recently shown impressive performance in complex game AI and robotics tasks.
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
It considers the source of knowledge, its representation, and its integration into the machine learning pipeline.
Using Echo State Networks for Cryptography
The key idea is to assume that Alice and Bob share a copy of an echo state network.
