Academic Publications: ACL Anthology (page 1)
Academic Publications · ACL Anthology. Computational linguistics papers and conference proceedings. This source has 52 entries admitted under this category's review policy, listed across 4 pages; each links directly to the original.
Authority tiers in this category: A2–R.
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its TACL 2024 Best Paper Award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture, and evaluation, reliability and safety. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer · Model Evaluation and Benchmarks
Link last checked: 2026-09-24
HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns computational linguistics and language technology. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Link last checked: 2026-09-24
Past Meets Present: Creating Historical Analogy with Large Language Models
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture, and evaluation, reliability and safety. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer · Model Evaluation and Benchmarks
Link last checked: 2026-09-24
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
Fairness through Difference Awareness: Measuring \textit{Desired} Group Discrimination in LLMs
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Best Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
Toward Automatic Discovery of a Canine Phonetic Alphabet
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns computational linguistics and language technology. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Link last checked: 2026-09-24
Byte Latent Transformer: Patches Scale Better Than Tokens
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture; evaluation, reliability and safety; and training and inference efficiency and infrastructure. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer · Model Evaluation and Benchmarks · LLM Inference Optimization
Link last checked: 2026-09-24
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture, and evaluation, reliability and safety. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer · Model Evaluation and Benchmarks
Link last checked: 2026-09-24
Pre^3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture, and retrieval, agents and memory. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer · Retrieval-Augmented Generation (RAG) · AI Agent
Link last checked: 2026-09-24
A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs
Evidence grade: for discovery only; must not by itself support a formal conclusion.
The paper concerns foundation models and model architecture. Its ACL 2025 Outstanding Paper award is verified, but independent external evidence of a major contribution to AI is still missing, so it is currently listed only as an entry awaiting further evidence.
Evidence use: For checking the paper's identity, authors, official award and original content; currently only a discovery and evidence-gathering entry point, not evidence of a major AI contribution confirmed by this site.
Limitations: Being listed publicly records a gap in the review; it does not mean the importance review was passed, nor that this site endorses all of the paper's conclusions. The official award shows recognition under that award process; until independent evidence of major contribution is added, it cannot be claimed that the paper significantly changed AI.
Related concepts: Large Language Model (LLM) · Transformer
Link last checked: 2026-09-24