BioLaySum2025

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O
1	Username	Task	Team	Submission Description:	ROUGE	BLEU	METEOR	BERTScore	FKGL	DCRS	CLI	LENS(Task1)	AlignScore(Task1)	SummaC(Task1)
2	jcols-291372	SubTask 1.1	SUWMIT	2 separate summarization models	0.3704646644	10.06702578	0.3079956055	0.8642405859	11.74049296	9.082676056	12.58246479	72.607968	0.7497251217	0.6817477078
3	www123-283453	SubTask 1.1	Baseline-llama3-8B-sft	Baseline-llama3-8B-sft	0.365724094	9.862437528	0.3138578127	0.8632391471	12.2056338	9.225140845	12.98440141	72.85923035	0.7216703775	0.6435311565
4	iramzi_uc3m-288467	SubTask 1.1	BDA-UC3M	No external data was used.	0.3533949447	8.075049312	0.2939212943	0.8696542359	12.32464789	9.257816901	13.16961268	64.09698429	0.6913597245	0.5390019624
5	www123-283495	SubTask 1.1	Baseline-qwen2.5-7B-sft	Baseline-qwen2.5-7B-sft	0.3518542247	8.737016262	0.3030265735	0.8693586294	12.71338028	9.65306338	13.70052817	60.21873129	0.7539888213	0.6438751254
6	hopems7-286691	SubTask 1.1	TLPIQ	second iteration for subtask 1.1	0.3353842707	7.162556148	0.2678121673	0.8615671409	13.43802817	10.58616197	13.42823944	43.67558783	0.7624569112	0.6422238888
7	callum-chan-290154	SubTask 1.1	5cNLP	Llama 3.3 Few Shot Prompting	0.3334242163	6.135423874	0.2676496595	0.8585660678	16.07183099	10.39757042	15.33580986	76.05186543	0.6307268746	0.4549793862
8	egecanevgin-284123	SubTask 1.1	MetninOzU	Qwen3:4B model + Trim_10 + LoRA Fine Tuning	0.3300379793	6.946667965	0.2903588549	0.856749526	16.4528169	11.21570423	17.00535211	34.85779997	0.8807738375	0.9203375815
9	linf545-291362	SubTask 1.1	LaySummX	Experiment24	0.3206904634	5.442784604	0.2531891514	0.8554332431	12.27887324	9.506549296	13.38327465	80.45908498	0.6753871409	0.521024681
10	aaradhyagupta-280271	SubTask 1.1	Aard	no additional data used. langgraph agent using llama3 70b	0.3189127319	5.448826084	0.2931807791	0.8511478429	14.56443662	10.0193662	15.36359155	71.51319021	0.6946161614	0.5088798004
11	sushvin-281050	SubTask 1.1	LTRC	subtask-1.1-llama-3.2-WOFT-IN	0.287980178	4.26513022	0.222247166	0.8498532856	13.36197183	9.297394366	13.28897887	79.3443314	0.6014536152	0.4759215726
12	benjaminpwh-287497	SubTask 1.1	MIRAGES	Impact of using title and keyword information for lay summarization	0.2877319903	4.632317501	0.2304805458	0.8460885985	11.71091549	8.459577465	11.98985915	71.27138088	0.6810818147	0.6046602492
13	jw_48264-290237	SubTask 1.1	RainCityNLP	med_summarization	0.2844611838	4.868612017	0.2405111996	0.8395703217	16.74014085	11.65957746	16.23690141	9.410939323	0.6118289283	0.6530755789
14	saranyar-291753	SubTask 1.1	CUTN_Bio	tree	0.2681919676	3.24775969	0.2263706053	0.8484312852	10.52429577	8.835915493	11.43105634	84.14457219	0.5888629015	0.5489283793
15	explcre-287036	SubTask 1.1	x2z	lma3	0.1823066331	1.177655156	0.1681808915	0.8035890685	12.59929577	8.556197183	12.64869718	63.22367322	0.367818371	0.4681687049
16	explcre-290422	SubTask 1.1	sxz	biobart,paragraph summary	0.1648664622	1.327783087	0.1530177538	0.8011153674	12.58767606	11.83193662	13.28792254	6.555184182	0.8620931045	0.5278729823
17	demo1357-291673	SubTask 1.1	demo	the plos.txt and elife.txt	0.1648664622	1.327783087	0.1530177538	0.8011153674	12.58767606	11.83193662	13.28792254	6.555184182	0.8620931045	0.5278729823
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19	min-max normalisation = (score_i - min(score)) / (max(score) - min(score))
20				min	0.1648664622	1.177655156	0.1530177538	0.8011153674	10.52429577	8.459577465	11.43105634	6.555184182	0.367818371	0.4549793862
21				max	0.3704646644	10.06702578	0.3138578127	0.8696542359	16.74014085	11.83193662	17.00535211	84.14457219	0.8807738375	0.9203375815
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24	Username	Task	Team	Submission Description:	ROUGE	BLEU	METEOR	BERTScore	FKGL(1-)	DCRS(1-)	CLI(1-)	LENS(Task1)	AlignScore(Task1)	SummaC(Task1)
25	jcols-291372	SubTask 1.1	SUWMIT	2 separate summarization models	1	1	0.9635525674	0.921013432	0.8043392058	0.8152336205	0.7934432443	0.8513120867	0.7445222356	0.4872984378
26	www123-283453	SubTask 1.1	Baseline-llama3-8B-sft	Baseline-llama3-8B-sft	0.9769425494	0.9769850695	1	0.9064021782	0.7295077324	0.7729887758	0.7213378814	0.8545504465	0.6898298773	0.4051755663
27	iramzi_uc3m-288467	SubTask 1.1	BDA-UC3M	No external data was used.	0.9169753455	0.7759147921	0.876047556	1	0.7103608452	0.7632993996	0.6881119323	0.7416194609	0.6307396541	0.1805546288
28	www123-283495	SubTask 1.1	Baseline-qwen2.5-7B-sft	Baseline-qwen2.5-7B-sft	0.9094815057	0.8503820382	0.9326583236	0.9956870239	0.6478219	0.6460976246	0.5928684227	0.6916351383	0.7528342625	0.405914715
29	hopems7-286691	SubTask 1.1	TLPIQ	second iteration for subtask 1.1	0.829374025	0.6732648742	0.7137178032	0.8820071709	0.5312411488	0.3694074654	0.6417156213	0.4784211424	0.7693426934	0.4023664018
30	callum-chan-290154	SubTask 1.1	5cNLP	Llama 3.3 Few Shot Prompting	0.8198406032	0.5577187553	0.7127074342	0.8382207302	0.1075171359	0.425330201	0.2995072958	0.8956982783	0.512536703	0
31	egecanevgin-284123	SubTask 1.1	MetninOzU	Qwen3:4B model + Trim_10 + LoRA Fine Tuning	0.8033704348	0.6489787699	0.8538985999	0.8117169107	0.04622443778	0.1827303576	0	0.364774314	1	1
32	linf545-291362	SubTask 1.1	LaySummX	Experiment24	0.7579054658	0.4798010602	0.6228012989	0.7925119992	0.7177250326	0.6895432002	0.6497820731	0.9525001124	0.5996013104	0.1419235665
33	aaradhyagupta-280271	SubTask 1.1	Aard	no additional data used. langgraph agent using llama3 70b	0.7492588362	0.4804806899	0.8714435089	0.7299868906	0.3500254914	0.5374784651	0.2945234034	0.837202196	0.6370880354	0.1158256473
34	sushvin-281050	SubTask 1.1	LTRC	subtask-1.1-llama-3.2-WOFT-IN	0.5988073557	0.3473221216	0.4304239421	0.7110989613	0.5434770294	0.7515635604	0.6666982503	0.9381327665	0.4554688652	0.04500229417
35	benjaminpwh-287497	SubTask 1.1	MIRAGES	Impact of using title and keyword information for lay summarization	0.5976002065	0.3886284522	0.4816138003	0.6561711928	0.8090976038	1	0.8997536479	0.8340856702	0.6107030028	0.3216465607
36	jw_48264-290237	SubTask 1.1	RainCityNLP	med_summarization	0.5816914755	0.4152101447	0.5439779518	0.5610678312	0	0.05110937091	0.1378561051	0.03680600162	0.4756954029	0.4256854069
37	saranyar-291753	SubTask 1.1	CUTN_Bio	tree	0.5025603546	0.2328741396	0.4560608346	0.6903516039	1	0.8884051161	1	1	0.4309234328	0.2018853306
38	explcre-287036	SubTask 1.1	x2z	lma3	0.08482647569	0	0.09427463409	0.0360919454	0.6661757208	0.9713495171	0.7815614933	0.730363913	0	0.02834229381
39	explcre-290422	SubTask 1.1	sxz	biobart,paragraph summary	0	0.01688847692	0	0	0.6680450915	0	0.6668877519	0	0.9635821544	0.1566397602
40	demo1357-291673	SubTask 1.1	demo	the plos.txt and elife.txt	0	0.01688847692	0	0	0.6680450915	0	0.6668877519	0	0.9635821544	0.1566397602
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45	Username	Task	Team	Submission Description:	Relevance				Readability				Factuality		overall
46	jcols-291372	SubTask 1.1	SUWMIT	2 separate summarization models	0.9711414999				0.8160820393				0.6159103367		0.8010446253
47	www123-283453	SubTask 1.1	Baseline-llama3-8B-sft	Baseline-llama3-8B-sft	0.9650824493				0.769596209				0.5475027218		0.7607271267
48	iramzi_uc3m-288467	SubTask 1.1	BDA-UC3M	No external data was used.	0.8922344234				0.7258479095				0.4056471414		0.6745764914
49	www123-283495	SubTask 1.1	Baseline-qwen2.5-7B-sft	Baseline-qwen2.5-7B-sft	0.9220522228				0.6446057714				0.5793744887		0.715344161
50	hopems7-286691	SubTask 1.1	TLPIQ	second iteration for subtask 1.1	0.7745909683				0.5051963445				0.5858545476		0.6218806201
51	callum-chan-290154	SubTask 1.1	5cNLP	Llama 3.3 Few Shot Prompting	0.7321218807				0.4320132277				0.2562683515		0.47346782
52	egecanevgin-284123	SubTask 1.1	MetninOzU	Qwen3:4B model + Trim_10 + LoRA Fine Tuning	0.7794911788				0.1484322773				1		0.6426411521
53	linf545-291362	SubTask 1.1	LaySummX	Experiment24	0.663254956				0.7523876046				0.3707624385		0.595468333
54	aaradhyagupta-280271	SubTask 1.1	Aard	no additional data used. langgraph agent using llama3 70b	0.7077924814				0.504807389				0.3764568414		0.5296855706
55	sushvin-281050	SubTask 1.1	LTRC	subtask-1.1-llama-3.2-WOFT-IN	0.5219130952				0.7249679016				0.2502355797		0.4990388588
56	benjaminpwh-287497	SubTask 1.1	MIRAGES	Impact of using title and keyword information for lay summarization	0.531003413				0.8857342305				0.4661747817		0.6276374751
57	jw_48264-290237	SubTask 1.1	RainCityNLP	med_summarization	0.5254868508				0.05644286941				0.4506904049		0.3442067084
58	saranyar-291753	SubTask 1.1	CUTN_Bio	tree	0.4704617332				0.972101279				0.3164043817		0.5863224646
59	explcre-287036	SubTask 1.1	x2z	lma3	0.0537982638				0.7873626611				0.01417114691		0.2851106906
60	explcre-290422	SubTask 1.1	sxz	biobart,paragraph summary	0.004222119229				0.3337332108				0.5601109573		0.2993554291
61	demo1357-291673	SubTask 1.1	demo	the plos.txt and elife.txt	0.004222119229				0.3337332108				0.5601109573		0.2993554291
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63
64	rank	Team	Relevance
65	1	SUWMIT	0.9711414999
66	2	Baseline-llama3-8B-sft	0.9650824493
67	3	Baseline-qwen2.5-7B-sft	0.9220522228
68	4	BDA-UC3M	0.8922344234
69	5	MetninOzU	0.7794911788
70	6	TLPIQ	0.7745909683
71	7	5cNLP	0.7321218807
72	8	Aard	0.7077924814
73	9	LaySummX	0.663254956
74	10	MIRAGES	0.531003413
75	11	RainCityNLP	0.5254868508
76	12	LTRC	0.5219130952
77	13	CUTN_Bio	0.4704617332
78	14	x2z	0.0537982638
79	15	sxz	0.004222119229
80	16	demo	0.004222119229
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82
83	rank	Team	Readability
84	1	CUTN_Bio	0.972101279
85	2	MIRAGES	0.8857342305
86	3	SUWMIT	0.8160820393
87	4	x2z	0.7873626611
88	5	Baseline-llama3-8B-sft	0.769596209
89	6	LaySummX	0.7523876046
90	7	BDA-UC3M	0.7258479095
91	8	LTRC	0.7249679016
92	9	Baseline-qwen2.5-7B-sft	0.6446057714
93	10	TLPIQ	0.5051963445
94	11	Aard	0.504807389
95	12	5cNLP	0.4320132277
96	13	sxz	0.3337332108
97	14	demo	0.3337332108
98	15	MetninOzU	0.1484322773
99	16	RainCityNLP	0.05644286941
100