works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
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5 papers

cs.LG2026

Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization

Weiwen Xu, Jia Liu, Hou Pong Chan +4

The paper proposes Contrastive Policy Optimization, which leverages token‑level contrastive disagreement between reference‑guided and standard generation distributions to provide a…

cs.CL2025

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation

Song Wang, Zihan Chen, Peng Wang +5

Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources to address their limitations in accessing up-to-date or special…

cs.CL2025

The End of Manual Decoding: Towards Truly End-to-End Language Models

Zhichao Wang, Dongyang Ma, Xinting Huang +6

The "end-to-end" label for LLMs is a misnomer. In practice, they depend on a non-differentiable decoding process that requires laborious, hand-tuning of hyperparameters like temper…

cs.LG2025

SeqPE: Transformer with Sequential Position Encoding

Huayang Li, Yahui Liu, Hongyu Sun +5

Since self-attention layers in Transformers are permutation invariant by design, positional encodings must be explicitly incorporated to enable spatial understanding. However, fixe…

cs.LG2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models

Yuhan Li, Peisong Wang, Xiao Zhu +5

The emergence of large language models (LLMs) has revolutionized the way we interact with graphs, leading to a new paradigm called GraphLLM. Despite the rapid development of GraphL…