Papers › Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

16 Jan 2025arXiv:2501.09620archive 2025-07-28

Chaoqi Wang, Zhuokai Zhao, Yibo Jiang, Zhaorun Chen, Chen Zhu, Yuxin Chen, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hao Ma, Sinong Wang

Recent advances in large language models (LLMs) have demonstrated significant progress in performing complex tasks. While Reinforcement Learning from Human Feedback (RLHF) has been effective in aligning LLMs with human preferences, it is susceptible to spurious correlations in reward modeling. Consequently, it often introduces biases-such as length bias, sycophancy, conceptual bias, and discrimination that hinder the model's ability to capture true causal relationships. To address this, we propose a novel causal reward modeling approach that integrates causal inference to mitigate these spurious correlations. Our method enforces counterfactual invariance, ensuring reward predictions remain consistent when irrelevant variables are altered. Through experiments on both synthetic and real-world datasets, we show that our approach mitigates various types of spurious correlations effectively, resulting in more reliable and fair alignment of LLMs with human preferences. As a drop-in enhancement to the existing RLHF workflow, our causal reward modeling provides a practical way to improve the trustworthiness and fairness of LLM finetuning.

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compute_reward_modeling_metrics tatsu-lab/alpaca_farm/src/alpaca_farm/reward_modeling_trainer.py official repository ran Apache-2.0 (permissive) · cca45bb9a111ab77 · report
create_scheduler tatsu-lab/alpaca_farm/src/alpaca_farm/trainer_utils.py official repository ran Apache-2.0 (permissive) · 42596ac916e883a5 · report
flatten_dict tatsu-lab/alpaca_farm/src/alpaca_farm/common.py official repository ran Apache-2.0 (permissive) · f5ff77db7757bc92 · report
format_prompt tatsu-lab/alpaca_farm/src/alpaca_farm/data_preprocessor.py official repository ran Apache-2.0 (permissive) · a71a4bdc37586fe2 · report
get_logger tatsu-lab/alpaca_farm/src/alpaca_farm/logging.py official repository ran Apache-2.0 (permissive) · 043cf4a6fd60480b · report
let_model_save_mem_when_zero_grad tatsu-lab/alpaca_farm/src/alpaca_farm/common.py official repository ran Apache-2.0 (permissive) · 9a1871dd5c967ac1 · report
requires_chatml tatsu-lab/alpaca_farm/src/alpaca_farm/openai_utils.py official repository ran Apache-2.0 (permissive) · 9bd28dd37074fcb1 · report
setup tatsu-lab/alpaca_farm/src/alpaca_farm/distributed_utils.py official repository ran Apache-2.0 (permissive) · 80675b2c65496f66 · report
string_to_dict tatsu-lab/alpaca_farm/src/alpaca_farm/openai_utils.py official repository ran fingerprinted Apache-2.0 (permissive) · 58d5d20497232727 · report
format_output tatsu-lab/alpaca_farm/src/alpaca_farm/data_preprocessor.py official repository unverified Apache-2.0 (permissive) · cdd932e2e3e511b0 · report
format_prompt_with_data_frame tatsu-lab/alpaca_farm/src/alpaca_farm/data_preprocessor.py official repository unverified Apache-2.0 (permissive) · 9a4f0b63fec28e5c · report
make_binary_reward_modeling_data_module tatsu-lab/alpaca_farm/src/alpaca_farm/data_utils.py official repository unverified Apache-2.0 (permissive) · 03d2f22f6c69bacb · report
make_rl_data_module tatsu-lab/alpaca_farm/src/alpaca_farm/data_utils.py official repository unverified Apache-2.0 (permissive) · 852ca1260bbe1d92 · report

Tasks

Causal InferenceFairnessLanguage ModelingLanguage ModellingLarge Language Model

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Causal inference

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